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Article: Analog circuit design by nonconvex polynomial optimization: Two design examples

TitleAnalog circuit design by nonconvex polynomial optimization: Two design examples
Authors
KeywordsAnalog-to-digital converter
Delta sigma
Lmi relaxation
Low-power
Ngcc amplifier
Nonconvex polynomial optimization
Issue Date2010
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/1976
Citation
International Journal Of Circuit Theory And Applications, 2010, v. 38 n. 1, p. 25-43 How to Cite?
AbstractWe present a framework for synthesizing low-power analog circuits through global optimization over generally nonconvex multivariate polynomial objective function and constraints. Specifically, a nonconvex optimization problem is formed, which is then efficiently solved through convex programming techniques based on linear matrix inequality (LMI) relaxation. The framework allows both polynomial inequality and equality constraints, thereby facilitating more accurate device modelings and parameter tuning. Compared to traditional nonlinear programming (NLP), the proposed methodology exhibits superior computational efficiency, and guarantees convergence to a globally optimal solution. As in other physical design tasks, circuit knowledge and insight are critical for initial problem formulation, while the nonconvex optimization machinery provides a versatile tool and systematic way to locate the optimal parameters meeting design specifications. Two circuit design examples are given, namely, a nested transconductance(Gm)-capacitance compensation (NGCC) amplifier and a delta-sigma (ΔΣ) analog-to-digital converter (ADC), both of them being the key components in many electronic systems. Copyright © 2008 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/129217
ISSN
2015 Impact Factor: 1.179
2015 SCImago Journal Rankings: 0.384
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLui, SHen_HK
dc.contributor.authorKwan, HKen_HK
dc.contributor.authorWong, Nen_HK
dc.date.accessioned2010-12-23T08:33:41Z-
dc.date.available2010-12-23T08:33:41Z-
dc.date.issued2010en_HK
dc.identifier.citationInternational Journal Of Circuit Theory And Applications, 2010, v. 38 n. 1, p. 25-43en_HK
dc.identifier.issn0098-9886en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129217-
dc.description.abstractWe present a framework for synthesizing low-power analog circuits through global optimization over generally nonconvex multivariate polynomial objective function and constraints. Specifically, a nonconvex optimization problem is formed, which is then efficiently solved through convex programming techniques based on linear matrix inequality (LMI) relaxation. The framework allows both polynomial inequality and equality constraints, thereby facilitating more accurate device modelings and parameter tuning. Compared to traditional nonlinear programming (NLP), the proposed methodology exhibits superior computational efficiency, and guarantees convergence to a globally optimal solution. As in other physical design tasks, circuit knowledge and insight are critical for initial problem formulation, while the nonconvex optimization machinery provides a versatile tool and systematic way to locate the optimal parameters meeting design specifications. Two circuit design examples are given, namely, a nested transconductance(Gm)-capacitance compensation (NGCC) amplifier and a delta-sigma (ΔΣ) analog-to-digital converter (ADC), both of them being the key components in many electronic systems. Copyright © 2008 John Wiley & Sons, Ltd.en_HK
dc.languageengen_US
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/1976en_HK
dc.relation.ispartofInternational Journal of Circuit Theory and Applicationsen_HK
dc.rightsInternational Journal of Circuit Theory and Applications. Copyright © John Wiley & Sons Ltd..-
dc.subjectAnalog-to-digital converteren_HK
dc.subjectDelta sigmaen_HK
dc.subjectLmi relaxationen_HK
dc.subjectLow-poweren_HK
dc.subjectNgcc amplifieren_HK
dc.subjectNonconvex polynomial optimizationen_HK
dc.titleAnalog circuit design by nonconvex polynomial optimization: Two design examplesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0098-9886&volume=38&issue=1&spage=25&epage=43&date=2010&atitle=Analog+circuit+design+by+nonconvex+polynomial+optimization:+two+design+examples-
dc.identifier.emailWong, N:nwong@eee.hku.hken_HK
dc.identifier.authorityWong, N=rp00190en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/cta.525en_HK
dc.identifier.scopuseid_2-s2.0-75749126936en_HK
dc.identifier.hkuros177852en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-75749126936&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume38en_HK
dc.identifier.issue1en_HK
dc.identifier.spage25en_HK
dc.identifier.epage43en_HK
dc.identifier.isiWOS:000274910900002-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLui, SH=18133857700en_HK
dc.identifier.scopusauthoridKwan, HK=21934115800en_HK
dc.identifier.scopusauthoridWong, N=35235551600en_HK

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