ReAdapt-II: Energy-Quality Optimizations for VLSI Adaptive Filters Through Automatic Reconfiguration and Built-In Iterative Dividers

Abstract:

Adaptive filters using least mean square (LMS) algorithms offer high precision, low complexity, and fast convergence, but choosing the correct algorithm can be difficult and time-consuming. In this brief, we present ReAdapt-II, a VLSI circuit that enhances energy efficiency in adaptive filters through automatic reconfiguration and built-in iterative dividers, optimizing the energy-quality (EQ) tradeoff. This design features a self-selecting, reconfigurable hardware system with four adaptive algorithms, integrating iterative-based dividers and reusing arithmetic operators. Our results show a minimum energy consumption reduction of 39.75%, a 66.41% reduction in the circuit area, and a maximum accuracy increase of 17.67% compared with the previous ReAdapt architecture.

Index Terms — Adaptive filters, energy-quality (EQ)-scalable filtering, feedback-control circuit, iterative-based divider, reconfigurable architecture.

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