Ill convergence of minimum output energy infinite impulse response equalizer for digital vestigial sideband signals
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chung, Wonzoo | - |
dc.date.accessioned | 2021-09-06T23:31:06Z | - |
dc.date.available | 2021-09-06T23:31:06Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2012-01 | - |
dc.identifier.issn | 0890-6327 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/109201 | - |
dc.description.abstract | Minimum output energy (MOE) algorithm is a widely used adaptive algorithm for blind adaptation of infinite impulse response (IIR) filters. In this paper, we show that the MOE algorithm is not suitable for blind adaptation of the complex-valued IIR equalizer for digital vestigial sideband signals, whereas the constant modulus algorithm successfully achieves blind adaptation of the IIR equalizers when MOE fails. Because of the difficulty in analyzing IIR equalizers, the analysis is limited to a simple two-tap channel case. For more general multitap channel cases, the performance of a complex constant modulus algorithm IIR is evaluated through simulation. Copyright (C) 2011 John Wiley & Sons, Ltd. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.subject | SELF-RECOVERING EQUALIZATION | - |
dc.subject | BLIND EQUALIZATION | - |
dc.subject | IDENTIFICATION | - |
dc.subject | SYSTEMS | - |
dc.title | Ill convergence of minimum output energy infinite impulse response equalizer for digital vestigial sideband signals | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Wonzoo | - |
dc.identifier.doi | 10.1002/acs.1275 | - |
dc.identifier.scopusid | 2-s2.0-84855444911 | - |
dc.identifier.wosid | 000298786900005 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, v.26, no.1, pp.73 - 83 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | - |
dc.citation.title | INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | - |
dc.citation.volume | 26 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 73 | - |
dc.citation.endPage | 83 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | SELF-RECOVERING EQUALIZATION | - |
dc.subject.keywordPlus | BLIND EQUALIZATION | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordAuthor | minimum output energy algorithm | - |
dc.subject.keywordAuthor | adaptive blind equalizer | - |
dc.subject.keywordAuthor | vestigial sideband | - |
dc.subject.keywordAuthor | IIR filter | - |
dc.subject.keywordAuthor | constant modulus algorithm | - |
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