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Article: Wordlength optimization of linear time-invariant systems with multiple outputs using geometric programming

TitleWordlength optimization of linear time-invariant systems with multiple outputs using geometric programming
Authors
KeywordsGeometric Programming (Gp)
Marginal Analysis (Ma) Method
Multiple-Output (Mo) Linear Time-Invariant (Lti) Systems
Wordlength Determination
Issue Date2007
Citation
Ieee Transactions On Circuits And Systems I: Regular Papers, 2007, v. 54 n. 4, p. 845-854 How to Cite?
AbstractThis paper proposes two new methods for optimizing hardware resources in finite wordlength implementation of multiple-output (MO) linear time-invariant (LTI) systems. The hardware complexity is measured by the exact internal wordlength used for each intermediate data. The first method relaxes the wordlength from integer to real-value and formulates the design problem as a geometric programming, from which an optimal solution of the relaxed problem can be determined. The second method is based on a discrete optimization method called the marginal analysis method, and it yields the desired wordlengths in integer values. By combining these two methods, a hybrid method is also proposed, which is found to be very effective for large scale MO LTI systems. To illustrate the effectiveness of the proposed methods, wordlength optimization problems of two-channel structural perfect reconstruction filter banks and multiplier-less fast Fourier transforms are studied in detail. Design results show that the proposed algorithms offer better results and a lower design complexity than conventional methods. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/155368
ISSN
2006 Impact Factor: 1.139
2006 SCImago Journal Rankings: 1.111
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_US
dc.contributor.authorTsui, KMen_US
dc.date.accessioned2012-08-08T08:33:06Z-
dc.date.available2012-08-08T08:33:06Z-
dc.date.issued2007en_US
dc.identifier.citationIeee Transactions On Circuits And Systems I: Regular Papers, 2007, v. 54 n. 4, p. 845-854en_US
dc.identifier.issn1057-7122en_US
dc.identifier.urihttp://hdl.handle.net/10722/155368-
dc.description.abstractThis paper proposes two new methods for optimizing hardware resources in finite wordlength implementation of multiple-output (MO) linear time-invariant (LTI) systems. The hardware complexity is measured by the exact internal wordlength used for each intermediate data. The first method relaxes the wordlength from integer to real-value and formulates the design problem as a geometric programming, from which an optimal solution of the relaxed problem can be determined. The second method is based on a discrete optimization method called the marginal analysis method, and it yields the desired wordlengths in integer values. By combining these two methods, a hybrid method is also proposed, which is found to be very effective for large scale MO LTI systems. To illustrate the effectiveness of the proposed methods, wordlength optimization problems of two-channel structural perfect reconstruction filter banks and multiplier-less fast Fourier transforms are studied in detail. Design results show that the proposed algorithms offer better results and a lower design complexity than conventional methods. © 2007 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Circuits and Systems I: Regular Papersen_US
dc.subjectGeometric Programming (Gp)en_US
dc.subjectMarginal Analysis (Ma) Methoden_US
dc.subjectMultiple-Output (Mo) Linear Time-Invariant (Lti) Systemsen_US
dc.subjectWordlength Determinationen_US
dc.titleWordlength optimization of linear time-invariant systems with multiple outputs using geometric programmingen_US
dc.typeArticleen_US
dc.identifier.emailChan, SC:scchan@eee.hku.hken_US
dc.identifier.emailTsui, KM:kmtsui@eee.hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityTsui, KM=rp00181en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/TCSI.2006.888769en_US
dc.identifier.scopuseid_2-s2.0-34247201949en_US
dc.identifier.hkuros140418-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34247201949&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume54en_US
dc.identifier.issue4en_US
dc.identifier.spage845en_US
dc.identifier.epage854en_US
dc.identifier.isiWOS:000245865200014-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridChan, SC=13310287100en_US
dc.identifier.scopusauthoridTsui, KM=7101671591en_US

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