This paper explores the use of transformer-coupled (TC) technique for the 2:1 MUX and the 1:2 DEMUX to serialize-and-deserialize (SerDes) high-speed data sequence. The widely used current-mode logic (CML) designs of latch and multiplexer/demultiplexer (MUX/DEMUX) are replaced by the proposed TC approach to allow the more headroom and to lower the power consumption. Through the stacked transformer, the input clock pulls down the differential source voltage of the TC latch and the TC multiplexer core while alternating between the two-phase operations. With the enhanced drain-source voltage, the TC design attracts more drain current with less width-to-length ratio of NMOS than that of the CML counterpart. The source-offset voltage is decreased so that the supply voltage can be reduced. The lower supply voltage improves the power consumption and facilitates the integration with low voltage supply SerDes interface. The MUX and the DEMUX chips are fabricated in 65-nm standard CMOS process and operate at 0.7-V supply voltage. The chips are measured up to 40-Gb/s with sub-hundred milliwatts power consumption.
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A duty-cycle correction technique using a novel pulse width modification cell is demonstrated across a frequency range of 100 MHz–3.5 GHz. The technique works at frequencies where most digital techniques implemented in the same technology node fail. An alternative method of making time domain measurements such as duty cycle and rise/fall times from the frequency domain data is introduced. The data are obtained from the equipment that has significantly lower bandwidth than required for measurements in the time domain. An algorithm for the same has been developed and experimentally verified. The correction circuit is implemented in a 0.13-µm CMOS technology and occupies an area of 0.011 mm2. It corrects to a residual error of less than 1%. The extent of correction is limited by the technology at higher frequencies. The proposed architecture of this paper area and power consumption analysis using tanner tool.
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Abstract:
A new solution for an ultralow-voltage bulk driven (BD) asynchronous delta–sigma modulator is described in this paper. While implemented in a standard 0.18-µm CMOS process from the Taiwan Semiconductor Manufacturing Company and supplied with VDD = 0.3 V, the circuit offers a 53.3-dB signal-to-noise and distortion ratio, which corresponds to 8.56-bit resolution. In addition, the total power consumption is 37 nW, the signal bandwidth is 62 Hz, and the resulting power efficiency is 0.79 pJ/conversion. The above-mentioned features have been achieved employing a highly linear transconductor and a hysteretic comparator based on nontailed BD differential pair.
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A low-phase-noise relaxation oscillator uses a digital compensation loop to reduce its temperature coefficient (TC). This relaxation oscillator is fabricated in the 0.18-µm CMOS process. The measured average oscillation frequency is 13.4 MHz. The whole oscillator consumes 157.8 µW under a 1.2-V supply. The measured average TCs of the oscillation frequency with and without compensation are 193.15 and 1098.7 ppm/◦C, respectively. The TC achieves an improvement of 5.7 times. The measured frequency variation is within ±2% from −20 ◦C to 100 ◦C by using the digital compensation loop. The measured phase noise at 100-kHz offset frequency is −104.82 dBc/Hz, and the measured figure of merit (FOM) is −154.4 dBc/Hz
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This paper proposes a time-to-digital converter (TDC) that achieves wide input range and fine time resolution at the same time. The proposed TDC utilizes pulse-shrinking (PS) scheme in the second stage for a fine resolution and two-step (TS) architecture for a wide range. The proposed PS TDC prevents an undesirable non-uniform shrinking rate issue in the conventional PS TDCs by utilizing a built-in offset pulse and an offset pulse width detection schemes. With several techniques, including a built-in coarse gain calibration mechanism, the proposed TS architecture overcomes a nonlinearity due to the signal propagation and gain mismatch between coarse and fine stages. The simulation results of the TDC implemented in a 0.18-µm standard CMOS technology demonstrate 2.0-ps resolution and 16-bit range that corresponds to ∼130-ns input time interval with 0.08-mm2 area. It operates at 3.3 MS/s with 18.0 mW from 1.8-V supply and achieves 1.44-ps single-shot precision. Index Terms— Built-in calibration, pulse shrinking (PS), time-to-digital conversion, two step (TS).
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A 2.5-V 8-bit low force and efficient Successive Approximation Register Analog-to-Digital converter (SAR-ADC) utilizing a Principled Open Loop Comparator (POLC) and Switched Multi-Threshold Complementary Metal Oxide Semiconductor (SMTCMOS) D-FF shift Register. In light of high proficiency and low force applications SAR-ADC is increasingly well known, yet it experience the ill effects of resolution and speed confinements. To defeat the above issue proposed a systematic methodology uses low force POLC based SAR-ADC is structured. Considering about the resolution, speed and compact design of 8- bit SAR-ADC, the proposed POLC strategy reasonably diminishes the propagation delay by 37% and decreases the force utilization by 62% appeared differently in relation to the standard system. A D-flip flop is planned to employ SMTCMOS procedure which has low force utilization and productively decline the leakage power. All the above circuits are simulated by using TANNER-EDA tool in 0.25μm CMOS technology produces 97% Efficiency.
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This paper presents a 6-GS/s 6-bit time-interleaved successive approximation register (SAR) analog to digital converter (ADC) realized in 90-nm CMOS. The ADC consists of 32 single SAR-ADCs. The measured effective-number-of-bits (ENOB) at sampling rate of 6.144 GS/s are 5-bit at DC and 3.6-bit at the Nyquist frequency. The power consumption of the ADC-core without I/O’s and 4-to-1 output MUX is 359 mW for an input swing of 1 V peak to peak differential, resulting in a FOM of 4.9 pJ/conv. The proposed design of this Successive approximation register analog to digital converter in Tanner EDA at 65-nm technology and finally proved the comparison of area, power and delay.
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This paper presents a new nanometer-based low-power constant current reference that attains a small value in the total process–voltage–temperature variation. The circuit architecture is based on the embodiment of a process-tolerant bias current circuit and a scaled process-tracking bias voltage source for the dedicated temperature-compensated voltageto-current conversion in a preregulator loop. Fabricated in a UMC 65-nm CMOS process, it consumes 7.18µWwitha1.4V supply. The measured results indicate that the current reference achieves an average temperature coefficient of 119 ppm/°C over 12 samples in a temperature range from−30 °C to 90 °C without any calibration. Besides, a low line sensitivity of 180 ppm/V is obtained. This paper offers a better sensitivity figure of merit with respect to the reported representative counterparts.
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Power analysis (PA) attacks have become a serious threat to security systems by enabling secret data extraction through the analysis of the current consumed by the power supply of the system. Embedded memories, often implemented with six-transistor (6T) static random access memory (SRAM) cells, serve as a key component in many of these systems. However, conventional SRAM cells are prone to side-channel power analysis attacks due to the correlation between their current characteristics and written data. To provide resiliency to these types of attacks, we propose a security-oriented 7T SRAM cell, which incorporates an additional transistor to the original 6T SRAM implementation and a two-phase write operation, which significantly reduces the correlation between the stored data and the power consumption during write operations. The proposed 7T SRAM cell was implemented in a 28 nm technology and demonstrates over 1000× lower write energy standard deviation between write ‘1’ and ‘0’ operations compared to a conventional 6T SRAM. In addition, the proposed cell has a 39%–53% write energy reduction and a 19%–38% reduced write delay compared to other power analysis resistant SRAM cells.
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The latest video coding standard high-efficiency video coding (HEVC) provides 50% improvement in coding efficiency compared to H.264/AVC to meet the rising demands for video streaming, better video quality, and higher resolution. The deblocking filter (DF) and sample adaptive offset (SAO) play an important role in the HEVC encoder, and the SAO is newly adopted in HEVC. Due to the high throughput requirement in the video encoder, design challenges such as data dependence, external memory traffic, and on-chip memory area become even more critical. To solve these problems, we first propose an interlacing memory organization on the basis of quarter-LCU to resolve the data dependence between vertical and horizontal filtering of DF. The on-chip SRAM area is also reduced to about 25% on the basis of quarter-LCU scheme without throughput loss. We also propose a simplified bitrate estimation method of rate-distortion cost calculation to reduce the computational complexity in the mode decision of SAO. Our proposed hardware architecture of combined DF and SAO is designed for the HEVC intraencoder, and the proposed simplified bitrate estimation method of SAO can be applied to both intra- and intercoding. As a result, our design can support ultrahigh definition 7680 × 4320 at 40 f/s applications at merely 182 MHz working frequency. Total logic gate count is 103.3 K in 65 nm CMOS process.
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In this article, a new solution for an ultralow-voltage (ULV) ultralow-power (ULP) operational transconductance amplifier (OTA) is presented. Thanks to the combination of a low-voltage bulk-driven nontailed differential stage with the multipath Miller zero compensation technique, a simple class AB power-efficient ULV structure has been obtained, which can operate from supply voltages less than the threshold voltages of the employed MOS transistors, while offering rail-to-rail input common-mode range at the same time. The proposed OTA was fabricated using the 180-nm CMOS process from Taiwan Semiconductor Manufacturing Company (TSMC) and can operate from VDD ranging from 0.3 to 0.5 V. The 0.3-V version dissipates only 12.6 nW of power while showing a 64.7-dB voltage gain at 1-Hz, 2.96-kHz gain-bandwidth product, and a 4.15-V/ms average slew-rate at 30-pF load capacitance. The measured results agree well with simulations.
List of the following materials will be included with the Downloaded Backup:Abstract: The need of low area and high speed Multiplier is increasing as the need of high speed processors are needed. The multipliers used in Square and cube architecture have to be more efficient in area and also in speed. In this paper a multiplier is implemented based on Nikhilam sutra with binary excess unit. The ripple carry adder in the multiplier architecture increases the speed of addition of partial products. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
List of the following materials will be included with the Downloaded Backup:In this paper, a novel computation and energy reduction technique for High Efficiency Video Coding (HEVC) Discrete Cosine Transform (DCT) for all Transform Unit (TU) sizes is proposed. The proposed technique reduces the computational complexity of HEVC DCT significantly at the expense of slight decrease in PSNR and slight increase in bit rate by only calculating several pre-determined low frequency coefficients of TUs and assuming that the remaining coefficients are zero. It reduced the execution time of HEVC HM software encoder up to 12.74%, and it reduced the execution time of DCT operations in HEVC HM software encoder up to 37.27%. In this paper, a low energy HEVC 2D DCT hardware for all TU sizes is also designed and implemented using Verilog HDL. The proposed hardware, in the worst case, can process 53 Ultra HD (7680x4320) video frames per second. The proposed technique reduced the energy consumption of this hardware up to 18.9%. Therefore, it can be used in portable consumer electronics products that require a real-time HEVC encoder. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
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There is an emerging need to design configurable accelerators for the high-performance computing (HPC) and artificial intelligence (AI) applications in different precisions. Thus, the floating-point (FP) processing element (PE), which is the key basic unit of the accelerators, is necessary to meet multiple-precision requirements with energy-efficient operations. However, the existing structures by using high-precision-split (HPS) and low-precision-combination (LPC) methods result in low utilization rate of the multiplication array and long multi term processing period, respectively. In this article, a configurable FP multiple-precision PE design is proposed with the LPC structure. Half precision, single precision, and double precision are supported. The 100% multiplier utilization rate of the multiplication array for all precisions is achieved with improved speed in the comparison and summation process. The proposed design is realized in a 28-nm process with 1.429-GHz clock frequency. Compared with the existing multiple-precision FP methods, the proposed structure achieves 63% and 88% areasaving performance for FP16 and FP32 operations, respectively. The 4× and 20× maximum throughput rates are obtained when compared with fixed FP32 and FP64 operations. Compared with the previous multiple-precision PEs, the proposed one achieves the best energy-efficiency performance with 975.13 GFLOPS/W.
List of the following materials will be included with the Downloaded Backup:The new deblocking filter (DF) tool of the next generation High Efficiency Video Coding (HEVC) standard is one of the most time consuming algorithms in video decoding. In order to achieve real-time performance at low-power consumption, we developed a hardware accelerator for this filter. This paper proposes high throughput hardware architecture for HEVC deblocking filter employing hardware reuse to accelerate filtering decision units with a low area cost. Our architecture achieves either higher or equivalent throughput with 5X-6X lower area compared to state of-the-art deblocking filter architectures. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
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In this paper, a double-error-correcting and triple error-detecting (DEC-TED) Bose–Chaudhuri–Hocquenghem (BCH) code decoder with high decoding efficiency and low power for error correction in emerging memories is presented. To increase the decoding efficiency, we propose an adaptive error correction technique for the DEC-TED BCH code that detects the number of errors in a codeword immediately after syndrome generation and applies a different error correction algorithm depending on the error conditions. With the adaptive error correction technique, the average decoding latency and power consumption are significantly reduced owing to the increased decoding efficiency. To further reduce the power consumption, an invalid-transition-inhibition technique is proposed to remove the invalid transitions caused by glitches of syndrome vectors in the error-finding block. Synthesis results with an industry-compatible 65-nm technology library show that the proposed decoders for the (79, 64, 6) BCH code take only 37%–48% average decoding latency and achieve more than 70% power reduction compared to the conventional fully parallel decoder under the 10−4–10−2 raw bit-error rate.
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As the technology is getting advanced continuously the problem for the security of data is also increasing. The hackers are equipped with new advanced tools and techniques to break any security system. Therefore people are getting more concern about data security. The data security is achieved by either software or hardware implementations. In this work Field Programmable Gate Arrays (FPGA) device is used for hardware implementation since these devices are less complex, more flexible and provide more efficiency. This work focuses on the hardware execution of one of the security algorithms that is the Advanced Encryption Standard (AES) algorithm. The AES algorithm is executed on Vivado 2014.2 ISE Design Suite and the results are observed on 28 nanometers (nm) Artix-7 FPGA. This work discusses the design implementation of the AES algorithm and the resources consumed in implementing the AES design on Artix-7 FPGA. The resources which are consumed are as follows- Slice Register (SR), Look-Up Tables (LUTs), Input/Output (I/O) and Global Buffer (BUFG).
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A floating-point fused dot-product unit is presented that performs single-precision floating-point multiplication and addition operations on two pairs of data in a time that is only 150% the time required for a conventional floating-point multiplication. When placed and routed in a 45nm process, the fused dot-product unit occupied about 70% of the area needed to implement a parallel dot-product unit using conventional floating-point adders and multipliers. The speed of the fused dot-product is 27% faster than the speed of the conventional parallel approach. The numerical result of the fused unit is more accurate because one rounding operation is needed versus at least three for other approaches.
List of the following materials will be included with the Downloaded Backup:This paper presents a new power-efficient electrocardiogram acquisition system that uses a fully digital architecture to reduce the power consumption and chip area. The proposed architecture is compatible with digital CMOS technology and is capable of operating with a low supply voltage of 0.5 V. In this architecture, no analog block, e.g., low-noise amplifier (LNA), and filters, and no passive elements, such as ac coupling capacitors, are used. A moving average voltage-to time converter is used, which behaves instead of the LNA and anti-aliasing filter. A digital feedback loop is employed to cancel the impact of the dc offset on the circuit, which eliminates the need for coupling capacitors. The proposed architecture of this paper area and power consumption is analysis using tanner tool.
List of the following materials will be included with the Downloaded Backup:An extremely low-power flip-flop (FF) named topologically-compressed flip-flop (TCFF) is proposed. As compared with conventional FFs, the FF reduces power dissipation by 75% at 0% data activity. This power reduction ratio is the highest among FFs that have been reported so far. The reduction is achieved by applying topological compression method, merger of logically equivalent transistors to an unconventional latch structure. The very small number of transistors, only three, connected to clock signal reduces the power drastically, and the smaller total transistor count assures the same cell area as conventional FFs. In addition, fully static full-swing operation makes the cell tolerant of supply voltage and input slew variation. An experimental chip design with 40 nm CMOS technology shows that almost all conventional FFs are replaceable with proposed FF while preserving the same system performance and layout area. The proposed design is analysis the power and delay by using tanner tools.
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Abstract:
Transpose form finite-impulse response (FIR)filters are inherently pipelined and support multiple constant multiplications (MCM) technique that results in significant saving of computation. However, transpose form configuration does not directly support the block processing unlike direct form configuration. In this paper, we explore the possibility of realization of block FIR filter in transpose form configuration for area-delay efficient realization of large order FIR filters for both fixed and reconfigurable applications. Based on a detailed computational analysis of transpose form configuration of FIR filter, we have derived a flow graph for transpose form block FIR filter with optimized register complexity. A generalized block formulation is presented for transpose form FIR filter. We have derived a general multiplier-based architecture for the proposed transpose form block filter for reconfigurable applications. A low-complexity design using the MCM scheme is also presented for the block implementation of fixed FIR filters. The proposed structure involves significantly less area delay product (ADP) and less energy per sample (EPS) than the existing block implementation of direct-form structure for medium or large filter lengths, while for the short-length filters, the block implementation of direct-form FIR structure has less ADP and less EPS than the proposed structure. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
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As a traditional digital platform, Field Programmable Gate Array (FPGA) is seldom used for analog applications. Since there is no way to fine tune the gate property or circuit structure, the performance of FPGA analog application is usually inferior to its counterparts based on full-custom or even cell-based design. Nevertheless, a high performance FPGA time-to-digital Converter (TDC) is proposed in this paper to expand the FPGA territory into high-end analog applications. The test time signal is sampled by a serious timing references generated by feeding the original clock into a tapped delay line. According to periodicity, the delays among those timing references are wrapped into a single reference period and the effective TDC resolution can be made much smaller than the clock period to compete even with the state-of the art full-custom TDCs in performance. After measurement, the effective resolution is as fine as 2.5 ps. The corresponding differential nonlinearity (DNL) is -1.90~1.66 LSB and the integral nonlinearity (INL) is -3.79~6.53 LSB only.
List of the following materials will be included with the Downloaded Backup:In this paper, an exportable application-specific instruction-set elliptic curve cryptography processor based on redundant signed digit representation is proposed. The processor employs extensive pipelining techniques for Karatsuba–Ofman method to achieve high throughput multiplication. Furthermore, an efficient modular adder without comparison and a highthrough put modular divider, which results in a short datapath for maximized frequency, are implemented. The processor supports the recommended NIST curve P256 and is based on an extended NIST reduction scheme. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
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Abstract:
In this paper, we propose a low-power high-speed pipeline multiply-accumulate (MAC) architecture. In a conventional MAC, carry propagations of additions (including additions in multiplications and additions in accumulations) often lead to large power consumption and large path delay. To resolve this problem, we integrate a part of additions into the pa rtial product reduction (PPR) process. In the proposed MAC architecture, the addition and accumulation of higher significance bits are not performed until the PPR process of the next multiplication. To correctly deal with the overflow in the PPR process, a small-size adder is designed to accumulate the total number of carries. Compared with previous works, experimental results show that the proposed MAC architecture can greatly reduce both power consumption and circuit area under the same timing constraint.
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True random number generators (TRNGs) are fundamentals in many important security applications. Though they exploit randomness sources that are typical of the analog domain, digital-based solutions are strongly required especially when they have to be implemented on Field Programmable Gate Array (FPGA)-based digital systems. This paper describes a novel methodology to easily design a TRNG on FPGA devices. It exploits the runtime capability of the Digital Clock Manager (DCM) hardware primitives to tune the phase shift between two clock signals. The presented auto-tuning strategy automatically sets the phase difference of two clock signals in order to force on one or more flip-flops (FFs) to enter the metastability region, used as a randomness source. Moreover, a novel use of the fast carry-chain hardware primitive is proposed to further increase the randomness of the generated bits. Finally, an effective on-chip post-processing scheme that does not reduce the TRNG throughput is described. The proposed TRNG architecture has been implemented on the Xilinx Zynq XC7Z020 System on Chip (SoC). It passed all the National Institute of Standards and Technology (NIST) SP 800-22 statistical tests with a maximum throughput of 300×106 bit per second. The latter is considerably higher than the throughput of other previously published DCMbased TRNGs.
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In a memory system, understanding how the host is stressing the memory is important to improve memory performance. Accordingly, the need for the analysis of memory command trace, which the memory controller sends to the dynamic random access memory, has increased. However, the size of this trace is very large; consequently, a high-throughput hardware (HW) accelerator that can efficiently compress these data in real time is required. This paper proposes a high throughput HW accelerator for lossless compression of the command trace. The proposed HW is designed in a pipeline structure to process Huffman tree generation, encoding, and stream merge. To avoid the HW cost increase owing to high throughput processing, a Huffman tree is efficiently implemented by utilizing static random access memory-based queues and bitmaps. In addition, variable length stream merge is performed at a very low cost by reducing the HW wire width using the mathematical properties of Huffman coding and processing the metadata and the Huffman codeword using FIFO separately. Furthermore, to improve the compression efficiency of the DDR4 memory command, the proposed design includes two preprocessing operations, the “don’t care bits override” and the “bits arrange,” which utilize the operating characteristics of DDR4 memory. The proposed compression architecture with such preprocessing operations achieves a high throughput of 8 GB/s with a compression ratio of 40.13% on average. Moreover, the total HW resource per throughput of the proposed architecture is superior to the previous implementations.
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In this brief, a high-throughput Huffman encoder VLSI architecture based on the Canonical Huffman method is proposed to improve the encoding throughput and decrease the encoding time required by the Huffman code word table construction process. We proposed parallel computing architectures for frequency-statistical sorting and code-size computational sorting. This architecture results in a process of building a tree and assigning symbols that can be completed by scanning the data only once. This solves the problem of the low efficiency of the traditional algorithm, which needs to scan the data twice. Consequently, in addition to the advantages of the high compression ratio inherited from the Canonical Huffman, the proposed architecture has overridden advantages for a high parallelism processing capacity. The experimental results showed that the proposed architecture decreased the encoding time by 26.30% compared to the available Huffman encoder using the standard algorithm when encoding 256 8-bit symbols. Furthermore, the VLSI architecture could further decrease the encoding time when encoding more 8-bit symbols. In particular, when encoding 212,642 8-bit symbols, the proposed VLSI architecture could reduce the encoding time by 87.40%. Thus, compared with the traditional Huffman encoders, this brief achieved the improvement of coding efficiency.
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A novel low-complexity multiple-input multiple-output (MIMO) detector tailored for single-carrier frequency division-multiple access (SC-FDMA) systems, suitable for efficient hardware implementations. The proposed detector starts with an initial estimate of the transmitted signal based on a minimum mean square error (MMSE) detector. Subsequently, it recognizes less reliable symbols for which more candidates in the constellation are browsed to improve the initial estimate. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
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A novel type of highly efficient conditional feed through pulse-triggered flip-flop (P-FF) is proposed and demonstrated. The data-to-output (D-to-Q) delay in this circuit was highly optimized using pre discharging and conditional signal feed through schemes. Power consumption was also reduced using a shared pulse generator and an output feedback-controlled conditional keeper, which diminished the floating status of the internal node. The driving strength of this design was further enhanced by including an additional pull-down path at the output node. Various post layout simulation results applied to 16-nm Fin FET technology demonstrated a higher energy efficiency (at all input data toggle rates) for the proposed topology than comparable P-FF devices. Notably, the proposed model achieved a 62% D-to-Q delay reduction, compared to a transmission gate FF, outperforming the device by more than 66% in terms of power efficiency and 87% in energy efficiency (at a 50% input data toggle rate). Improvements were even more significant in comparison with other conventional P-FFs. These results suggest the proposed design to be a viable new option for high-efficiency sequential elements in high-speed applications.
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There are many schemes proposed to protect integrated circuits (ICs) against an unauthorized access and usage, or at least to mitigate security risks. They lay foundations for hardware roots of trust whose crucial security primitives are generators of truly random numbers. In particular, such generators are used to yield one-time challenges (nonces) supporting the IC authentication protocols employed to counteract potential threats such as untrusted users accessing ICs. However, IC vendors raise several concerns regarding the complexity of these solutions, both in terms of area overhead, the impact on the design flow, and testability. These concerns have motivated this work presenting a simple, yet effective, all-digital lightweight and self-testable random number generator to produce a nonce. It builds on a generic ring generator architecture, i.e., an area and time optimized version of a linear feedback shift register, driven by a multiple-output ring oscillator. A comprehensive evaluation, based on three statistical test suits from NIST and BSI, show feasibility and efficiency of the proposed scheme and are reported herein.
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This brief presents a low-complexity I/Q (in-phase and quadrature components) imbalance calibration method for the transmitter using quadrature modulation. Impairments in analog quadrature modulator have a deleterious effect on the signal fidelity. Among the critical impairments, I/Q imbalance (gain and phase mismatches) deteriorates the residual sideband performance of the analog quadrature modulator degrading the error vector magnitude. Based on the theoretical mismatch analysis of the quadrature modulator, we propose a low-complexity I/Q imbalance extraction algorithm. After the parameter extraction, the transmitter is calibrated by imposing the counter imbalanced mismatch of the transmitter through the digital baseband. In comparison with existing I/Q imbalance calibration methods, the novelty of the proposed method lies in that: 1) only three spectrum measurements of the device-under-test are needed for extraction and calibration of gain and phase mismatches; 2) due to the blind nature of the calibration algorithm, the proposed approach can be readily applicable to an existing I/Q transmitter; 3) no extra hardware that degrades the calibration accuracy is required; and 4) due to the non-iterative nature, the proposed method is faster and computationally more efficient than previously published methods.
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For video applications in a special environment such as medical imaging, space exploration, and underwater exploration, the video captured by an image sensor is often deteriorated because of low lighting conditions. Therefore, it is necessary to enhance the part of the image that is too dark to distinguish details while maintaining the remaining part with the same brightness. The retinex algorithm is widely used to restore naturalness of a video, especially exhibiting outstanding performance in the enhancement of a dark area. However, it demands large computational complexity because of its intricate structure, such as the Gaussian filter and exponentiation operations, and consequently, it is difficult to process in real time. This article presents a low-cost and high-throughput design of the retinex video enhancement algorithm. The hardware (HW) design is implemented using a field-programmable gate array (FPGA), and it supports a throughput of 60 frames/s for a 1920 × 1080 image with negligible latency. The proposed FPGA design minimizes HW resources while maintaining the quality and the performance by using a small line buffer instead of a frame buffer, by applying the concept of approximate computing for the complex Gaussian filter, and by designing a new and nontrivial exponentiation operation. The proposed design makes it possible to significantly reduce HW resources (up to 79.22% of total resources) compared to existing systems and is compatible with commercialized devices through the standard HDMI/DVI video ports.
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In this brief, a low-cost low-power all-digital spread spectrum clock generator (ADSSCG) is presented. The proposed ADSSCG can provide an accurate programmable spreading ratio with process, voltage, and temperature variations. To maintain the frequency stability while performing triangular modulation, the fast-relocked mechanism is proposed. The proposed fast-relocked ADSSCG is implemented in a standard performance 90-nm CMOS process, and the active area is 200 µm × 200 µm. The experimental results show that the electromagnetic interference reduction is 14.61 dB with a 0.5% spreading ratio and 19.69 dB with a 2% spreading ratio at 270 MHz The power consumption is 443 µW at 270 MHz with a 1.0 V power supply.
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In this brief, a fast and very low power voltage level shifter (LS) is presented. By using a new regulated cross-coupled (RCC) pull-up network, the switching speed is boosted and the dynamic power consumption is highly reduced. The proposed (LS) has the ability to convert input signals with voltage levels much lower than the threshold voltage of a MOS device to higher nominal supply voltage levels. The presented LS occupies a small silicon area owing to its very low number of elements and is ultra-low-power, making it suitable for low-power applications such as implantable medical devices and wireless sensor networks. Results of the post-layout simulation in a standard 0.18-μm CMOS technology show that the proposed circuit can convert up input voltage levels as low as 80 mV. The power dissipation and propagation delay of the proposed level shifter for a low/high supply voltages of 0.4/1.8 V and input frequency of 1 MHz are 123.1 nW and 23.7 ns, respectively.
List of the following materials will be included with the Downloaded Backup:Abstract: This paper presents a modern low- complexity cross parity code, with a wide range of multiple bit error correction capability at a lower overhead, for improving the reliability. We have to use the two type of error correction technique for 128bit; first one is single bit error correction by using the hamming code. This hamming code is detects and then correct the single bit error correction. Another one is multiple bits error correction by using BCH (Bose–Choudhury– Hocquenghem). This one corrects the multiple bits error. Finally these are implemented and get the simulated result is compared to the previous architecture. The code are simulated and power, area, cost are taken using Xilinx 14.2 software.
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Proposed Abstract:
Continuous transistor scaling, coupled with the growing demand for low-voltage, low-power applications, increases the susceptibility of VLSI circuits to soft-errors, especially when exposed to extreme environmental conditions, such as those encountered by space applications. The most vulnerable of these circuits are memory arrays that cover large areas of the silicon die and often store critical data. Radiation hardening of embedded memory blocks is commonly achieved by implementing extremely large bitcells or redundant arrays and maintaining a relatively high operating voltage; however, in addition to the resulting area overhead, this often limits the minimum operating voltage of the entire system leading to significant power consumption. In this paper, we propose the first radiation-hardened static random access memory (SRAM) bitcell targeted at low-voltage functionality, while maintaining high soft-error robustness. A 32×32 bit memory macro was designed and fabricated in a standard 0.13-µm CMOS process, showing full read and write functionality down to the subthreshold voltage of 300 mV. This is achieved with a cell layout that is only 2×larger than a reference 6T SRAM cell drawn with standard design rules. The proposed architecture of this paper is analysis the logic size, area and power consumption using tanner tool.
List of the following materials will be included with the Downloaded Backup:In mobile network the multiuser detection mostly in 5G networks with using communication of CDMA, SC-FDMA, UTMS, EDGE, FDMA, WI-MAX etc,. Here SC-FDMA (Single Carrier FDMA) plays major role in 5G networks even the performance of improving Low Power Consumption in Low Peak to average ratio of RF Signal Transmission. The iteration of signal transmission in the same manner of Multi User SC-FDMA requires traditional parallel and serial interference cancellation algorithm for achieving the result in large, where the algorithm is consumed to be low power consumption. In the same manner to eliminate the Multiple access RF communication, here the proposed algorithm is introduces in named Optical Weighted Parallel Interference Cancellation (OWPIC). As a result to implement the SC-FDMA with high precision then traditional Parallel Interference Cancellation(PIC) with Multi User SC-FDMA using OWPIC, and also implement this architecture in FPGA (S5LX9) and finally analysis the logic size, low power consumption, high frequency interference, radio signal interference.
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Abstract:
A nanopower CMOS 4th-order lowpass filter suitable for biomedical applications is presented. The filter is formed by cascading two types of subthreshold current-reuse biquadratic cell. Each proposed cell is capable of neutralizing the bulk effect that induces the passband attenuation. The nearly 0-dB passband gain can thus be maintained, while the entire filter circuit remains compact and power-efficient. Designed for electrocardiogram detection as an example of application, the filter prototype has been fabricated in a 0.35 µm CMOS process occupying 269 µm × 383 µm chip area. Measurements verify that the filter can operate from a 1.5-V single supply and consumes 5.25 nW, while providing a cutoff frequency of 100 Hz and input-referred noise of 39.38 µVrms. The intermodulation-free dynamic range of 51.48 dB is obtained from a two-tone test of 50 and 60 Hz input frequencies. Compared with state-of-the-art nanopower lowpass filters using the most relevant and reasonable figure of merit, the proposed filter ranks the best.
List of the following materials will be included with the Downloaded Backup:This paper presents a fixed-point reconfigurable parallel VLSI hardware architecture for real-time Electrical Capacitance Tomography (ECT). Another FPGA module performs the inverse steps of the tomography algorithm. A dual port built-in memory banks store the sensitivity matrix, the actual value of the capacitances, and the actual image with RGB format. A two dimensional (2D) core multiprocessing elements (PE) engine intercommunicates with these memory banks via parallel buses. We are focus only on the FPGA module because the design is decide the power consumption and cost. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2. List of the following materials will be included with the Downloaded Backup:
Abstract:
As the device dimension is shrinking day by day the conventional transistor based CMOS technology encounters serious hindrances due to the physical barriers of the technology such as ultra-thin gate oxides, short channel effects, leakage currents & excessive power dissipation at nano scale regimes. Quantum Dot Cellular Automata is an alternate challenging quantum phenomenon that provides a completely different computational platform to design digital logic circuits using quantum dots confined in the potential well to effectively process and transfer information at nano level as a competitor of traditional CMOS based technology. This paper has demonstrated the implementation of circuits like D, T and JK flip flops using a derived expression from SR flip-flop. The kink energy and energy dissipations has been calculated to determine the robustness of the designed flip-flops. The simulation results have been verified using QCA Designer simulation tool.
List of the following materials will be included with the Downloaded Backup:Abstract:
In-memory computing using emerging technologies such as resistive random-access memory (ReRAM) addresses the ‘von Neumann bottleneck’ and strengthens the present research impetus to overcome the memory wall. While many methods have been recently proposed to implement Boolean logic in memory, the latency of arithmetic circuits (adders and consequently multipliers) implemented as a sequence of such Boolean operations increases greatly with bit-width. Existing in-memory multipliers require O(n2) cycles which is inefficient both in terms of latency and energy. In this work, we tackle this exorbitant latency by adopting Wallace Tree multiplier architecture and optimizing the addition operation in each phase of the Wallace Tree. Majority logic primitive was used for addition since it is better than NAND/NOR/IMPLY primitives. Furthermore, high degree of gate-level parallelism is employed at the array level by executing multiple majority gates in the columns of the array. In this manner, an in-memory multiplier of O(n.log(n)) latency is achieved which outperforms all reported in-memory multipliers. Furthermore, the proposed multiplier can be implemented in a regular transistor-accessed memory array without any major modifications to its peripheral circuitry and is also energy-efficient.
List of the following materials will be included with the Downloaded Backup:Application of quantum-dot cellular automata (QCA) technology as an alternative to CMOS technology on the nanoscale has a promising future; QCA is an interesting technology for building memory. The proposed design and simulation of a new memory cell structure based on QCA with a minimum delay, area, and complexity is presented to implement a static random access memory (SRAM). This paper presents the design and simulation of a 16-bit × 32-bit SRAM with a new structure in QCA. Since QCA is a pipeline, this SRAM has a high operating speed. The 16-bit × 32-bit SRAM has a new structure with a 32-bit width designed and implemented in QCA. It has the ability of a conventional logic SRAM that can provide read/write operations frequently with minimum delay. The 16-bit × 32-bit SRAM is generalized and an n × 16-bit × 32-bit SRAM is implemented in QCA. Novel 16-bit decoders and multiplexers (MUXs) in QCA are presented that have been designed with a minimum number of majority gates and cells. The new SRAM, decoders, and MUXs are designed, implemented, and simulated in QCA using a signal distribution network to avoid the coplanar problem of crossing wires. The QCA-based SRAM cell was compared with the SRAM cell based on CMOS. Results show that the proposed SRAM is more efficient in terms of area, complexity, clock frequency, latency, throughput, and power consumption.
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Base Paper Abstract:
In this paper, we propose a reduced complexity parallel least mean square structure (RC-pLMS) for adaptive beamforming and its pipelined hardware implementation. RC-pLMS is formed by two least mean square (LMS) stages operating in parallel (pLMS), where the overall error signal is derived as a combination of individual stage errors. The pLMS is further simplified to remove the second independent set of weights resulting in a reduced complexity pLMS (RC-pLMS) design. In order to obtain a pipelined hardware architecture of our proposed RC-pLMS algorithm, we applied the delay and sum relaxation technique (DRC-pLMS). Convergence, stability and quantization effect analysis are performed to determine the upper bound of the step size and assess the behavior of the system. Computer simulations demonstrate the outstanding performance of the proposed RC-pLMS in providing accelerated convergence and reduced error floor while preserving a LMS identical O(N) complexity, for an antenna array of N elements. Synthesis and implementation results show that the proposed design achieves a significant increase in the maximum operating frequency over other variants with minimal resource usage. Additionally, the resulting beam radiation pattern show that the finite precision DRC-pLMS implementation presents similar behavior of the infinite precision theoretical results.
List of the following materials will be included with the Downloaded Backup:Abstract:
The main aim of the Single image (SR) super-resolution is to generate (HR) high-resolution images from (LR) low-resolution images. This paper briefly presents a concept of real time super resolution method of FHD based image extended and scaling processor. The super resolution system includes three blocks of operations. The first is a low-frequency interpolation stage, where bicubic interpolation is used for reconstructing the low-frequency parts of HR images. The second stage generates high-frequency patches by choosing the highest related pre-trained regression function according to each HR low frequency patch. In the third stage, with the high-frequency information, the low-frequency image patches are enhanced and overlapped to construct the SR result. These operations for gaining a high-frequency result are applied to the Y-luminance channel only, while the high-resolution Cb and Cr channels are generated by bicubic interpolation. The proposed system generates the output image resolution of 1920 X 1080 (FHD) by the input of 800 X 800 image size. The proposed architecture performs an anchored neighborhood regression algorithm that generates a high-resolution image from a low-resolution image input using only numbers of line buffers. Finally, super resolution technique is implemented in VHDL and Synthesized in the XILINX VERTEX-5 FPGA and shown the comparison for power, area and delay reports.
List of the following materials will be included with the Downloaded Backup:Abstract:
This paper explores a low standby power 10T (LP10T) SRAM cell with high read stability and write-ability (RSNM/WSNM/WM). The proposed LP10T SRAM cell uses a strong cross-coupled structure consisting standard inverter with a stacked transistor and Schmitt-trigger inverter with a double-length pull-up transistor. This along with the read path separated from true internal storage nodes eliminates the read-disturbance. Furthermore, it performs its write operation in pseudo differential form through write bit line and control signal with a write-assist technique. To estimate the proposed LP10T SRAM cell’s performance, it is compared with some state-of-the-art SRAM cells using HSPICE in 16-nm CMOS predictive technology model at 0.7 V supply voltage under harsh manufacturing process, voltage, and temperature variations. The proposed SRAM cell offers 4.65X/1.57X/1.46X improvement in RSNM/WSNM/WM and 4.40X/1.69X narrower spread in RSNM/WM compared to the conventional 6T SRAM cell. Furthermore, it shows 1.26X/1.08X/1.01X higher RSNM/WSNM/WM and 1.71X/1.25X tighter/wider spread in RSNM/WM compared to the best studied SRAM cells. The proposed SRAM cell indicates 74.48%/1.41% higher/lower read/write delay compared to the 6T SRAM cell. Moreover, it exhibits the third-(second-) best read (write) dynamic power, consuming 29.69% (26.87%) lower than the 6T SRAM cell. The leakage power is minimized by the proposed design, which is 37.35% and 12.08% lower than that of the 6T and best studied cells, respectively. Nonetheless, the proposed LP10T SRAM cell occupies 1.313X higher area compared to the 6T SRAM cell.
List of the following materials will be included with the Downloaded Backup:Proposed Abstract:
This paper presents the design and FPGA implementation of a 16-bit reversible processor architecture employing Fredkin, Feynman, and PERES gate architectures for reversible logic design. Reversible computing offers promising advantages in terms of energy efficiency and information loss prevention, making it suitable for various emerging computing paradigms. The proposed processor architecture encompasses a carefully crafted instruction set, data path, and control logic, all realized using reversible logic gates. Key components such as the ALU, register file, and memory elements are designed with an emphasis on reversibility. The design is implemented using Hardware Description Languages (HDLs), targeting a specific FPGA platform. The paper outlines the design methodology, gate-level implementation details, memory design considerations, FPGA synthesis, and testing procedures. Furthermore, it discusses optimization strategies and presents simulation results to validate the functionality and efficiency of the proposed reversible processor architecture. This work contributes to the advancement of reversible computing and provides insights into the practical realization of reversible processor architectures on FPGA platforms.
List of the following materials will be included with the Downloaded Backup:Abstract:
One of the main motivations for using ternary logic systems is the amount of information per circuit line is higher as compared to the corresponding binary logic representation, thereby leading to more compact circuit realizations. This is particularly attractive for quantum computing as quarts are expensive resources and minimizing their number is one of the main objectives during synthesis. Therefore, ternary reversible logic synthesis has drawn significant attention among researchers. It deals with fundamental unit of information called quarts that can exist in one of the three states |0, |1 and |2. Hence, the aim of this paper is to bridge the knowledge gap for the beginners in this domain than searching the entire space. Therefore, the present work discusses the basic concepts of ternary reversible logic and ternary reversible gates. The detailed discussion of the various ternary reversible logic synthesis will enable the beginners in this domain to understand the ternary reversible logic in a better way.
List of the following materials will be included with the Downloaded Backup:This paper presents a robust energy/area-efficient receiver fabricated in a 28-nm CMOS process. The receiver consists of eight data lanes plus one forwarded-clock lane supporting the hyper transport standard for high-density chip-to-chip links. The proposed all-digital clock and data recovery (ADCDR) circuit, which is well suited for today’s CMOS process scaling, enables the receiver to achieve low power and area consumption. The ADCDR can enter into open loop after lock-in to save power and avoid clock dithering phenomenon. Moreover, to compensate the open loop, a phase tracking procedure is proposed to enable the ADCDR to track the phase drift due to the voltage and temperature variations. Furthermore, the all-digital delay-locked loop circuit integrated in the ADCDR can generate accurate multiphase clocks with the proposed calibrated locking algorithm in the presence of process variations. The precise multiphase clocks are essential for the half-rate sampling and Alexander-type phase detecting. Measurement results show that the receiver can operate at a data rate of 6.4 Gbits/s with a bit error rate. The proposed architecture of this paper area and power consumption analysis using tanner tool.
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Abstract:
This brief presents a low-power and high-precision bandgap voltage and current reference (BGVCR) in one simple circuit for battery-powered applications. All the amplifiers have been eliminated in the proposed circuit. The voltage reference is derived from the bandgap topology, and the current reference is obtained by summing a proportional-to-absolute-temperature (PTAT) current and a complementary-to-absolute-temperature (CTAT) current. Therefore, the temperature coefficient of the current reference can be optimized. Besides, a pseudo-cascode structure and a simple line sensitivity enhancement circuit are adopted to improve the current mirror accuracy and line sensitivity. The proposed circuit is fabricated in a 0.18-μm deep N-well CMOS process with an active area of 0.063 mm2. The measured VREF and IREF are 1.2 V and 51 nA, respectively. The VREF and IREF show measured average temperature coefficients of 32.7 ppm/℃ and 89 ppm/℃ at a temperature of -45 to 125 ℃ and standard deviations of 0.17 % and 1.15 %, respectively. In the supply voltage range of 2 to 5 V, the line sensitivities of voltage and current are 0.058%/V and 1.76%/V, respectively. The minimum supply voltage is 2 V with a total power consumption of 192 nW at room temperature.
List of the following materials will be included with the Downloaded Backup:Abstract:
We present a novel generalization of quadrature oscillators (QVCO) which we call “arbitrary phase oscillator” or APO for short. In contrast to a QVCO which generates only quadrature phases, the APO is capable of continuously generating any desired phase at its output. The proposed structure employs a novel coupling mechanism to generate arbitrary phase shifts between two coupled oscillators without the need for an explicit phase shifter. A rigorous nonlinear dynamic analysis is presented to give a closed-form formula for the generated phase shifts, and the theory is verified by numerical simulation as well as measurement results of a prototype chip fabricated in 130-nm CMOS technology. The prototype APO has a frequency tuning range of 4.90–5.65 GHz and is continuously phase tunable from 0◦ to 360◦ across the entire frequency range. The APO structure can be used in designing novel coupled-oscillator-based phased arrays for 5G wireless communications.
List of the following materials will be included with the Downloaded Backup:We can provide Online Support Wordlwide, with proper execution, explanation and additionally provide explanation video file for execution and explanations.
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