Genetic-Based High-Level Synthesis of Sigma-Delta Modulator in SystemC-A
Genetic-Based High-Level Synthesis of Sigma-Delta Modulator in SystemC-A
This paper proposes a novel genetic-based high-level synthesis methodology for ΣΔ modulators. This approach is based on simulation-based optimisation where optimal topology of the ΣΔ modulator is automated explored using a genetic algorithm (GA) under various design constraints, such as SNR (Signal to-Noise Ratio) and hardware complexity. The proposed synthesis technique has been implemented in SystemC-A due to its advantages in terms of high simulation speed, flexibility and data manipulation. Experimental results validates the effectiveness of the synthesis approach.
1-5
Zhao, Chenxu
87d1aa10-ef41-44bc-8969-82626aa1dd92
Kazmierski, T J
a97d7958-40c3-413f-924d-84545216092a
September 2010
Zhao, Chenxu
87d1aa10-ef41-44bc-8969-82626aa1dd92
Kazmierski, T J
a97d7958-40c3-413f-924d-84545216092a
Zhao, Chenxu and Kazmierski, T J
(2010)
Genetic-Based High-Level Synthesis of Sigma-Delta Modulator in SystemC-A.
FDL2010: Forum For Design Languages, Southampton, United Kingdom.
14 - 16 Sep 2010.
.
(doi:10.1049/ic.2010.0147).
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Conference or Workshop Item
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Abstract
This paper proposes a novel genetic-based high-level synthesis methodology for ΣΔ modulators. This approach is based on simulation-based optimisation where optimal topology of the ΣΔ modulator is automated explored using a genetic algorithm (GA) under various design constraints, such as SNR (Signal to-Noise Ratio) and hardware complexity. The proposed synthesis technique has been implemented in SystemC-A due to its advantages in terms of high simulation speed, flexibility and data manipulation. Experimental results validates the effectiveness of the synthesis approach.
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2010_FDL_Chengzu_genetic_synthesis_sigma_delta.pdf
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Published date: September 2010
Venue - Dates:
FDL2010: Forum For Design Languages, Southampton, United Kingdom, 2010-09-14 - 2010-09-16
Organisations:
EEE
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Local EPrints ID: 271652
URI: http://eprints.soton.ac.uk/id/eprint/271652
PURE UUID: cd9e6bd4-ca68-42ad-b842-4420e701f1e1
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Date deposited: 25 Oct 2010 10:26
Last modified: 14 Mar 2024 09:36
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Author:
Chenxu Zhao
Author:
T J Kazmierski
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