Constrained genetic algorithm design of finite precision FIR linear phase raised cosine filters
Constrained genetic algorithm design of finite precision FIR linear phase raised cosine filters
This paper investigates the use of genetic algorithm in the design of finite linear phase raised cosine FIR filters. The design of such filters does not only involve meeting a specific amplitude response but also imposes time domain constraints on the impulse response in order to ensure zero ISI. It is shown that genetic algorithm provides simple and effective technique for the design of finite precision filters with both frequency and time domain constraints. Furthermore, the algorithm computational time is low with respect to filter order and is independent of word length. Two filter design examples are included demonstrating the effectiveness of the design method.
445-8
Somerset, W.
9f1999bf-59bc-4b5c-9ba2-121d2c55de7b
Al-Hashimi, B.M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Moniri, M.
90c91a89-08f2-4f99-8651-cc6e13a262e8
June 1998
Somerset, W.
9f1999bf-59bc-4b5c-9ba2-121d2c55de7b
Al-Hashimi, B.M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Moniri, M.
90c91a89-08f2-4f99-8651-cc6e13a262e8
Somerset, W., Al-Hashimi, B.M. and Moniri, M.
(1998)
Constrained genetic algorithm design of finite precision FIR linear phase raised cosine filters.
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Abstract
This paper investigates the use of genetic algorithm in the design of finite linear phase raised cosine FIR filters. The design of such filters does not only involve meeting a specific amplitude response but also imposes time domain constraints on the impulse response in order to ensure zero ISI. It is shown that genetic algorithm provides simple and effective technique for the design of finite precision filters with both frequency and time domain constraints. Furthermore, the algorithm computational time is low with respect to filter order and is independent of word length. Two filter design examples are included demonstrating the effectiveness of the design method.
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Published date: June 1998
Additional Information:
Address: USA
Organisations:
Electronic & Software Systems
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Local EPrints ID: 251512
URI: http://eprints.soton.ac.uk/id/eprint/251512
PURE UUID: b1ffe00d-2843-46f0-86ad-b41a62ebde35
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Date deposited: 03 Nov 1999
Last modified: 07 Jan 2022 23:54
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Contributors
Author:
W. Somerset
Author:
B.M. Al-Hashimi
Author:
M. Moniri
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