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 highlevel synthesis methodology for Sigma-Delta modulators. This approach is based on simulation-based optimisation where optimal topology of the Sigma-Delta modulator is automated explored using a genetic algorithm( GA) under various design constraints, such as SNR(Signalto- 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.
Zhao, Chenxu
87d1aa10-ef41-44bc-8969-82626aa1dd92
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
September 2010
Zhao, Chenxu
87d1aa10-ef41-44bc-8969-82626aa1dd92
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Zhao, Chenxu and Kazmierski, Tom
(2010)
Genetic-Based High-Level Synthesis of Sigma-Delta Modulator in SystemC-A.
FDL 2010.
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Abstract
This paper proposes a novel genetic-based highlevel synthesis methodology for Sigma-Delta modulators. This approach is based on simulation-based optimisation where optimal topology of the Sigma-Delta modulator is automated explored using a genetic algorithm( GA) under various design constraints, such as SNR(Signalto- 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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Published date: September 2010
Venue - Dates:
FDL 2010, 2010-09-01
Organisations:
EEE
Identifiers
Local EPrints ID: 271652
URI: https://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: 18 Jul 2017 06:40
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Contributors
Author:
Chenxu Zhao
Author:
Tom Kazmierski
University divisions
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