A Symbolic Noise Analysis Approach to Word-Length Optimization in DSP Hardware
A Symbolic Noise Analysis Approach to Word-Length Optimization in DSP Hardware
This paper addresses the problem of choosing different word-lengths for each functional unit in fixed-point implementations of DSP algorithms. A symbolic-noise analysis method is introduced for high-level synthesis of DSP algorithms in digital hardware, together with a vector evaluated genetic algorithm for multiple objective optimization. The ability of this method to combine word-length optimization with high-level synthesis parameters and costs to minimize the over all design cost is demonstrated by example designs.
978-1-4244-0796-5
497-500
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
28 September 2007
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Ahmadi, Arash and Zwolinski, Mark
(2007)
A Symbolic Noise Analysis Approach to Word-Length Optimization in DSP Hardware.
International Symposium on Integrated Circuits (ISIC 2007), Singapore.
26 - 28 Sep 2007.
.
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Conference or Workshop Item
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Abstract
This paper addresses the problem of choosing different word-lengths for each functional unit in fixed-point implementations of DSP algorithms. A symbolic-noise analysis method is introduced for high-level synthesis of DSP algorithms in digital hardware, together with a vector evaluated genetic algorithm for multiple objective optimization. The ability of this method to combine word-length optimization with high-level synthesis parameters and costs to minimize the over all design cost is demonstrated by example designs.
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A_Symbolic_Noise_Analysis_Approach_to_Word-Length_Optimization_in_DSP_Hardware.pdf
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Published date: 28 September 2007
Additional Information:
Event Dates: 26-28 September 2007
Venue - Dates:
International Symposium on Integrated Circuits (ISIC 2007), Singapore, 2007-09-26 - 2007-09-28
Organisations:
EEE
Identifiers
Local EPrints ID: 264037
URI: http://eprints.soton.ac.uk/id/eprint/264037
ISBN: 978-1-4244-0796-5
PURE UUID: a32e6ea4-4cca-460a-893b-d56181dfd19a
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Date deposited: 22 May 2007
Last modified: 15 Mar 2024 02:39
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Contributors
Author:
Arash Ahmadi
Author:
Mark Zwolinski
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