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...
| Main Authors: | , |
|---|---|
| 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 |
| _version_ | 1848842518644391936 |
|---|---|
| author | Pang, Jia Hong Sulaiman, Nasri |
| author_facet | Pang, Jia Hong Sulaiman, Nasri |
| author_sort | Pang, Jia Hong |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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). The SA and SNR are optimized separately in a Radix-4 Single Path Delay Feedback (R4SDF) pipelined Fast Fourier Transform (FFT) processor using SOGA. The MOGA optimized both objectives using Weighted-Sum approach. |
| first_indexed | 2025-11-15T08:00:25Z |
| format | Article |
| id | upm-14872 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:00:25Z |
| publishDate | 2010 |
| publisher | American-Eurasian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-148722019-05-08T07:27:19Z http://psasir.upm.edu.my/id/eprint/14872/ Genetic algorithm optimization for coefficient of FFT processor Pang, Jia Hong Sulaiman, Nasri 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). The SA and SNR are optimized separately in a Radix-4 Single Path Delay Feedback (R4SDF) pipelined Fast Fourier Transform (FFT) processor using SOGA. The MOGA optimized both objectives using Weighted-Sum approach. American-Eurasian Network for Scientific Information 2010 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/14872/1/Genetic%20algorithm%20optimization%20for%20coefficient%20of%20FFT%20processor.pdf Pang, Jia Hong and Sulaiman, Nasri (2010) Genetic algorithm optimization for coefficient of FFT processor. Australian Journal of Basic and Applied Sciences, 4 (9). pp. 4184-4192. ISSN 1991-8178 http://www.ajbasweb.com/old/Ajbas_september_2010.html |
| spellingShingle | Pang, Jia Hong Sulaiman, Nasri Genetic algorithm optimization for coefficient of FFT processor |
| title | Genetic algorithm optimization for coefficient of FFT processor |
| title_full | Genetic algorithm optimization for coefficient of FFT processor |
| title_fullStr | Genetic algorithm optimization for coefficient of FFT processor |
| title_full_unstemmed | Genetic algorithm optimization for coefficient of FFT processor |
| title_short | Genetic algorithm optimization for coefficient of FFT processor |
| title_sort | genetic algorithm optimization for coefficient of fft processor |
| url | http://psasir.upm.edu.my/id/eprint/14872/ 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 |