Title :
Design of a reconfigurable FFT processor using Multi-objective Genetic Algorithm
Author :
Hong, Pang Jia ; Sulaiman, Nasri
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia
Abstract :
This paper describes the implementation of Multi-objective Genetic Algorithm (MOGA) in a 16-point Radix-4 Single Path Delay Feedback (R4SDF) pipelined Fast Fourier Transform (FFT) processor in Verilog. The role of MOGA is to optimize the wordlength of the FFT coefficient and at the same time make sure the processor operates at acceptable Signal to Noise Ratio (SNR). Reducing the wordlength of FFT coefficient will contribute to lower Switching Activity (SA), thus lower power consumption is required for the operation of FFT processor.
Keywords :
fast Fourier transforms; genetic algorithms; hardware description languages; FFT coefficient; Radix-4 single path delay feedback; Verilog; multiobjective genetic algorithm; pipelined fast Fourier transform processor; reconfigurable FFT processor; signal to noise ratio; switching activity; wordlength; Biological cells; Gallium; Hardware design languages; Optimization; Power demand; Signal to noise ratio; Switches; FFT processor; Signal to Noise Ratio; Switching Activity;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2010 International Conference on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-6623-8
DOI :
10.1109/ICIAS.2010.5716157