₹10,000.00Original price was: ₹10,000.00.₹7,000.00Current price is: ₹7,000.00.
Source Code : VHDL
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.
List of the following materials will be included with the Downloaded Backup:
₹15,000.00Original price was: ₹15,000.00.₹8,000.00Current price is: ₹8,000.00.
Source : Verilog HDL
Base Paper Abstract:
FPGA is familiar with prototyping and implementing simple to complex DSP systems. The FPGA based design may be highly affected by factors that include selection of an FPGA board, Electronic Design Automation Tool and the Programming Techniques to optimize the algorithm. The algorithm optimization results in a more compact design regarding the area and achieved frequency. In DSP algorithms optimization, the major bottleneck is the multiplier complexity evident in, for example - FIR, IIR, FFT, and others. Research shows much work on multiplier optimization. Despite all possible optimization techniques, the multiplier consumes tremendous resources when translated on hardware, with more power consumption and observed delay. The proposed work is novel in that it brings resources optimization in a familiar shift and add multiplier algorithm by implementing the design in FPGA and comparing the results with the existing shift, and add a multiplier. In the implementation of the design, Xilinx Vertex -7 FPGA is used along with ISE 14.2 simulators. The parameters to compare are the Lookup tables (Logic element of FPGA), adder/subtractors and the multiplexers, along with performance characters, like the operating frequency, delay and total levels of logic (path travelled by the signal in register transfer level). The output shows that the anticipated design is an excellent alternative to the conventional shift and add algorithm.
List of the following materials will be included with the Downloaded Backup:
₹18,000.00Original price was: ₹18,000.00.₹12,000.00Current price is: ₹12,000.00.
Source : VHDL
Abstract:
This study represents designing and implementation of a low power and high speed 16 order FIR filter. To optimize filter area, delay and power, different multiplication techniques such as Vedic multiplier, add and shift method and Wallace tree (WT) multiplier are used for the multiplication of filter coefficient with filter input. Various adders such as ripple carry adder, Kogge Stone adder, Brent Kung adder, Ladner Fischer adder and Han Carlson adder are analyzed for optimum performance study for further use in various multiplication techniques along with barrel shifter. Secondly optimization of filter area and delay is done by using add and shift method for multiplication, although it increases power dissipation of the filter. To reduce the complexity of filter, coefficients are represented in canonical signed digit representation as it is more efficient than traditional binary representation. The finite impulse-response (FIR) filter is designed in MATLAB using equiripple method and the same filter is synthesized on Xilinx Spartan 3E XC3S500E target field-programmable gate array device using Very High Speed Integrated Circuit Hardware Description Language (VHDL) subsequently the total on-chip power is calculated in Vivado2014.4. The comparison of simulation results of all the filters show that FIR filter with WT multiplier is the best optimized filter.
List of the following materials will be included with the Downloaded Backup:
₹12,000.00Original price was: ₹12,000.00.₹8,000.00Current price is: ₹8,000.00.
Source : VHDL
Abstract:
In this paper, an exchange algorithm is proposed to design sparse linear phase finite impulse response (FIR) filters with reduced effective length. The sparse FIR filter design problem is formally an l0-norm minimization problem. This original design problem is re-formulated by encoding the filter coefficients using a binary encoding vector, which represents the locations of the zero and non-zero filter coefficients. An iterative 0-1 exchange process with proper direction control is proposed to propel the minimax approximation error toward the specified upper bound of error for sparsity maximization. The effective length is optimized with a lower priority than sparsity in the proposed algorithm. Simulation results show that the proposed algorithm is superior to the existing algorithms in terms of both sparsity and/or effective length in most cases.
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.
24/7 Support Center
NXFEE, will Provide on 24x7 Online Support, You can call or text at +91 9789443203, or email us nxfee.innovation@gmail.com
Terms & Conditions:
Customer are advice to watch the project video file output, and before the payment to test the requirement, correction will be applicable.
After payment, if any correction in the Project is accepted, but requirement changes is applicable with updated charges based upon the requirement.
After payment the student having doubts, correction, software error, hardware errors, coding doubts are accepted.
Online support will not be given more than 3 times.
On first time explanation we can provide completely with video file support, other 2 we can provide doubt clarifications only.
If any Issue on Software license / System Error we can support and rectify that within end of day.
Extra Charges For duplicate bill copy. Bill must be paid in full, No part payment will be accepted.
After payment, to must send the payment receipt to our email id.
Powered by NXFEE INNOVATION, Pondicherry.
Call us today at : +91 9789443203 or Email us at nxfee.innovation@gmail.com