DocumentCode :
341769
Title :
A filter-coefficient quantization method with genetic algorithm
Author :
Haseyama, Miki ; Kitajima, Hideo
Author_Institution :
Sch. of Eng., Hokkaido Univ., Sapporo, Japan
Volume :
3
fYear :
1999
fDate :
36342
Firstpage :
399
Abstract :
A method with a genetic algorithm (GA) to quantize filter coefficients is proposed. The proposed method searches a population of the quantized filters for the optimal quantized filter which retains the frequency characteristic of a reference filter, by using the GA. In order to establish this method, we decide how to execute the following GA procedures: representation of strings; fitness (objective function); reproduction; crossover and mutation. The experimental results are included to verify that the proposed method can obtain the filter with better frequency characteristic than ones which the traditional quantization methods, such as to round off, round up, and round down, provides
Keywords :
circuit optimisation; digital filters; genetic algorithms; quantisation (signal); crossover; filter-coefficient quantization method; frequency characteristic; genetic algorithm; mutation; objective function; reproduction; Bandwidth; Biological cells; Digital filters; Energy states; Flowcharts; Frequency; Genetic algorithms; Genetic mutations; Quantization; Random processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
Type :
conf
DOI :
10.1109/ISCAS.1999.778869
Filename :
778869
Link To Document :
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