DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, S | - |
dc.contributor.author | Cichocki, A | - |
dc.contributor.author | Zhang, LQ | - |
dc.contributor.author | Amari, S | - |
dc.date.accessioned | 2015-06-25T02:02:02Z | - |
dc.date.available | 2015-06-25T02:02:02Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2003-01 | - |
dc.identifier.issn | 0916-8508 | - |
dc.identifier.other | 2015-OAK-0000003141 | en_US |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/10319 | - |
dc.description.abstract | This paper addresses a maximum likelihood method for source separation in the case of overdetermined mixtures corrupted by additive white Gaussian noise. We consider an approximate likelihood which is based on the Laplace approximation and develop a natural gradient adaptation algorithm to find a local maximum of the corresponding approximate likelihood. We present a detailed mathematical derivation of the algorithm using the Lie group invariance. Useful behavior of the algorithm is verified by numerical experiments. | - |
dc.description.statementofresponsibility | open | en_US |
dc.language | English | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION CO | - |
dc.relation.isPartOf | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | - |
dc.rights | BY_NC_ND | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.0/kr | en_US |
dc.title | Approximate maximum likelihood source separation using the natural gradient | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | en_US |
dc.author.google | Choi, S | en_US |
dc.author.google | Cichocki, A | en_US |
dc.author.google | Amari, S | en_US |
dc.author.google | Zhang, LQ | en_US |
dc.relation.volume | E86A | en_US |
dc.relation.issue | 1 | en_US |
dc.relation.startpage | 198 | en_US |
dc.relation.lastpage | 205 | en_US |
dc.contributor.id | 10077620 | en_US |
dc.relation.journal | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | en_US |
dc.relation.index | SCI급, SCOPUS 등재논문 | en_US |
dc.relation.sci | SCIE | en_US |
dc.collections.name | Journal Papers | en_US |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E86A, no.1, pp.198 - 205 | - |
dc.identifier.wosid | 000180491400024 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 205 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 198 | - |
dc.citation.title | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | - |
dc.citation.volume | E86A | - |
dc.contributor.affiliatedAuthor | Choi, S | - |
dc.identifier.scopusid | 2-s2.0-0042978506 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 3 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | independent component analysis | - |
dc.subject.keywordAuthor | maximum likelihood estimation | - |
dc.subject.keywordAuthor | natural gradient | - |
dc.subject.keywordAuthor | source separation | - |
dc.subject.keywordAuthor | overdetermined mixtures | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
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