Genetic-Based High-Level Synthesis of ΣΔ Modulator in System C-A
Genetic-Based High-Level Synthesis of ΣΔ Modulator in System C-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.
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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 ΣΔ Modulator in System C-A.
FDL2010: Forum For Design Languages, United Kingdom.
14 - 16 Sep 2010.
.
(doi:10.1049/ic.2010.0147).
Record type:
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, United Kingdom, 2010-09-14 - 2010-09-16
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 364840
URI: https://eprints.soton.ac.uk/id/eprint/364840
PURE UUID: eb3ec3eb-658a-4857-850e-7d1debe8e60c
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Date deposited: 13 May 2014 15:08
Last modified: 19 Jul 2019 21:12
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Author:
Chenxu Zhao
Author:
T J Kazmierski
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