Area Word-Length Trade off in DSP Algorithm Implementation and Optimization
Area Word-Length Trade off in DSP Algorithm Implementation and Optimization
This paper proposes a frame work for High Level Synthesis of DSP algorithms with emphasis on differences between DSP systems and other digital systems. Accordingly a multiple word length has been used to optimize the system digital noise and area trade off. Based on a proposed architecture, required cost function, synthesiser and optimizer and intermediate data bases have been introduced and implemented. Optimization has been done by an optimizer based on Genetic Algorithm
16/1-16/6
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
2005
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Ahmadi, Arash and Zwolinski, Mark
(2005)
Area Word-Length Trade off in DSP Algorithm Implementation and Optimization.
IEE/EURASIP Conference on DSPenabledRadio, Southampton, United Kingdom.
19 - 20 Sep 2005.
.
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Conference or Workshop Item
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Abstract
This paper proposes a frame work for High Level Synthesis of DSP algorithms with emphasis on differences between DSP systems and other digital systems. Accordingly a multiple word length has been used to optimize the system digital noise and area trade off. Based on a proposed architecture, required cost function, synthesiser and optimizer and intermediate data bases have been introduced and implemented. Optimization has been done by an optimizer based on Genetic Algorithm
Text
Area_word-length_trade_off_in_DSP_algorithm_implementation_and_optimization.pdf
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Published date: 2005
Additional Information:
Event Dates: 19-20 Sept. 2005
Venue - Dates:
IEE/EURASIP Conference on DSPenabledRadio, Southampton, United Kingdom, 2005-09-19 - 2005-09-20
Organisations:
EEE
Identifiers
Local EPrints ID: 262744
URI: http://eprints.soton.ac.uk/id/eprint/262744
PURE UUID: 670a57b5-1972-470e-9889-2358d3c3a006
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Date deposited: 18 Sep 2006
Last modified: 15 Mar 2024 02:39
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Contributors
Author:
Arash Ahmadi
Author:
Mark Zwolinski
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