Optimization of high speed pipelining in FPGA-based FIR filter design using genetic algorithm

Uwe Meyer-Baese; Guillermo Botella; David E. T. Romero; Martin Kumm

doi:10.1117/12.918934

10 May 2012 Optimization of high speed pipelining in FPGA-based FIR filter design using genetic algorithm

Uwe Meyer-Baese, Guillermo Botella, David E. T. Romero, Martin Kumm

Proceedings Volume 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X; 84010R (2012) https://doi.org/10.1117/12.918934
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

This paper compares FPGA-based full pipelined multiplierless FIR filter design options. Comparison of Distributed Arithmetic (DA), Common Sub-Expression (CSE) sharing and n-dimensional Reduced Adder Graph (RAG-n) multiplierless filter design methods in term of size, speed, and A*T product are provided. Since DA designs are table-based and CSE/RAG-n designs are adder-based, FPGA synthesis design data are used for a realistic comparison. Superior results of a genetic algorithm based optimization of pipeline registers and non-output fundamental coefficients are shown. FIR filters (posted as open source by Kastner et al.) for filters in the length from 6 to 151 coefficients are used.

Citation Download Citation

Uwe Meyer-Baese, Guillermo Botella, David E. T. Romero, and Martin Kumm "Optimization of high speed pipelining in FPGA-based FIR filter design using genetic algorithm", Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 84010R (10 May 2012); https://doi.org/10.1117/12.918934

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