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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
American-Eurasian Network for Scientific Information
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/14872/1/Genetic%20algorithm%20optimization%20for%20coefficient%20of%20FFT%20processor.pdf http://psasir.upm.edu.my/id/eprint/14872/ http://www.ajbasweb.com/old/Ajbas_september_2010.html |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |