DocumentCode :
2640324
Title :
A genetic algorithm for optimisation of linear phase FIR filter coefficients
Author :
Öner, Mehmet
Author_Institution :
VLSI Design Center, Tubitak Inf. Technol. & Electron. Res. Inst., Ankara, Turkey
Volume :
2
fYear :
1998
fDate :
1-4 Nov. 1998
Firstpage :
1397
Abstract :
A genetic algorithm is used to design and optimise the digital FIR filter coefficients. Given the desired amplitude response of the filter to be designed, the algorithm generates the filter coefficients with the specified number of taps and bits per coefficients. The linearity of the phase response is satisfied by making the filter coefficients symmetric. The algorithm generates a population of genomes that represents the filter coefficients and compares the amplitude response of each genome to that of the desired amplitude response. New genomes are generated by crossover, mutation operations as well as by deterministic pruning method. Since the algorithm directly generates digital coefficients, there is no need to truncate the coefficients for digital hardware implementation of the filter.
Keywords :
FIR filters; circuit optimisation; digital filters; genetic algorithms; linear phase filters; network synthesis; amplitude response; bits; crossover; deterministic pruning method; digital hardware implementation; filter coefficients optimisation; genetic algorithm; genomes; linear phase FIR filter coefficients; mutation operations; phase response linearity; taps; Algorithm design and analysis; Bioinformatics; Design optimization; Digital filters; Finite impulse response filter; Genetic algorithms; Genetic mutations; Genomics; Hardware; Linearity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-5148-7
Type :
conf
DOI :
10.1109/ACSSC.1998.751556
Filename :
751556
Link To Document :
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