A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT Processor

E
EH
2004
2004 NASA/DoD Conference on Evolvable Hardware (EH'04)
Abstract - A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT Processor

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	Similar Articles Articles by Nasri Sulaiman Articles by Tughrul Arslan

2004 NASA/DoD Conference on Evolvable Hardware (EH'04)

Seattle, Washington, USA

June 24-June 26

ISBN: 0-7695-2145-2

	ASCII Text	x
	Nasri Sulaiman, Tughrul Arslan, "A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT Processor," Evolvable Hardware, NASA/DoD Conference on, pp. 104, 2004 NASA/DoD Conference on Evolvable Hardware (EH'04), 2004.

	BibTex	x
	@article{ 10.1109/EH.2004.1310817, author = {Nasri Sulaiman and Tughrul Arslan}, title = {A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT Processor}, journal ={Evolvable Hardware, NASA/DoD Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2145-2}, pages = {104}, doi = {http://doi.ieeecomputersociety.org/10.1109/EH.2004.1310817}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Evolvable Hardware, NASA/DoD Conference on TI - A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT Processor SN - 0-7695-2145-2 SP EP A1 - Nasri Sulaiman, A1 - Tughrul Arslan, PY - 2004 KW - null VL - 0 JA - Evolvable Hardware, NASA/DoD Conference on ER -

Nasri Sulaiman, The University of Edinburgh, Scotland

Tughrul Arslan, The University of Edinburgh, Scotland

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.2004.1310817

This paper describes the optimisation of the word length in a 16-point radix-4 reconfigurable pipelined Fast Fourier Transform (FFT) based receiver device. Two forms of optimisation; input data optimisation and FFT coefficients optimisation are investigated in this paper. The word length for input data and FFT coefficients are initially set to 16-bits. A Genetic Algorithm (GA) is then used to find the optimal word length for the input data and FFT coefficients while satisfying functionality constraints. The GA is able to determine an optimised word length down to 10 bits for input data and 8 bits for the FFT coefficients.

Citation:

Nasri Sulaiman, Tughrul Arslan, "A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT Processor," eh, pp.104, 2004 NASA/DoD Conference on Evolvable Hardware (EH'04), 2004

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