Genetic algorithm optimization for coefficient of FFT processor

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Genetic algorithm optimization for coefficient of FFT processor

This paper describes the implementation of Single-objective Genetic Algorithm (SOGA) and Multi-objectives Genetic Algorithm (MOGA) to optimize the pipelined Fast Fourier Transform (FFT) coefficient in order to improve the performance of Signal to Noise Ratio (SNR) and also the Switching Activity (SA...

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Bibliographic Details
Main Authors:	Pang, Jia Hong, Sulaiman, Nasri
Format:	Article
Language:	English
Published:	American-Eurasian Network for Scientific Information 2010
Online Access:	http://psasir.upm.edu.my/id/eprint/14872/ http://psasir.upm.edu.my/id/eprint/14872/1/Genetic%20algorithm%20optimization%20for%20coefficient%20of%20FFT%20processor.pdf

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