Approximate compressor based multiplier design methodology for error-resilient digital signal processing

Abstract

Multiplier is a fundamental component for digital signal processing (DSP) applications and takes up the most part of the resource utilization, namely power and area. Approximate circuitry architectures have been studied as innovative paradigm for reducing resource utilization for DSP systems. In this paper, the 4:2 compressor based approximate multiplier architecture which uses both truncation and approximation of compressor is studied. A greedy selection algorithm is then proposed to identify the Pareto frontier to give the optimal accuracy-power tradeoff. A finite impulse response (FIR) filter is used as an assessment. The architecture proposed in this paper has achieved up to 21.03% and 27.72% saving on power and area for FIR filter case compared to conventional multiplier designs with a decrease of 0.3dB in output SNR.