Canonical signed digit encoding based optimal design for FIR filters

Author

Qi Yue ; Caiwen Ma ; Xin Wang

Author_Institution

Xi´an Inst. of Opt. & Precision Mech., Chinese Acad. of Sci., Xi´an, China

Volume

2

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

729

Lastpage

732

Abstract

Based on Particle Swarm Optimization (PSO) Algorithm and Canonical Signed Digit (CSD) encoding, an optimal design method for FIR filters is presented in order to reduce the pass-band ripple and power consumption of the integrated circuits. For the slow convergence and invalidate CSD encoding accompanying with the update and mutation operations in PSO, some solutions are given. Simulation results show that the pass-band ripple is reduced and faster convergence is obtained. Applied in the design of cascade filter, the proposed algorithm can greatly reduce the pass-band ripple.

Keywords

FIR filters; encoding; integrated circuits; particle swarm optimisation; power consumption; FIR filters; canonical signed digit encoding; integrated circuits; optimal design method; particle swarm optimization algorithm; pass-band ripple; power consumption; Algorithm design and analysis; Convergence; Encoding; Finite impulse response filter; Optimization; Signal processing algorithms; Canonical Signed Digit Encoding; FIR Filter; Particle Swarm Optimization Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023152

Filename

6023152