DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, S | - |
dc.contributor.author | Cichocki, A | - |
dc.date.accessioned | 2017-07-19T13:43:54Z | - |
dc.date.available | 2017-07-19T13:43:54Z | - |
dc.date.created | 2017-02-21 | - |
dc.date.issued | 1999-08-19 | - |
dc.identifier.issn | 0013-5194 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/37478 | - |
dc.description.abstract | A hybrid network is presented which performs blind deconvolutions of linear MIMO systems. The hybrid network consists of a feedforward network followed by a feedback network, where each of the synapses is represented by an FIR filter. The FIR synapses in the feedforward network are learned by a Godard cost based algorithm and the FIR synapses in the Feedback network are updated by a spatio-temporal decorrelation algorithm so that different sources are recovered at different output nodes. An efficient spatio-temporal decorrelation algorithm based on the natural gradient is presented. The validity of the proposed method is confirmed by computer simulations. | - |
dc.language | English | - |
dc.publisher | Electronics Letters | - |
dc.relation.isPartOf | IEE-INST ELEC ENG | - |
dc.title | A hybrid learning approach to blind deconvolution of linear MIMO systems | - |
dc.type | Article | - |
dc.identifier.doi | 10.1049/EL:19990985 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEE-INST ELEC ENG, v.35, no.17, pp.1429 - 1430 | - |
dc.identifier.wosid | 000082357300026 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 1430 | - |
dc.citation.number | 17 | - |
dc.citation.startPage | 1429 | - |
dc.citation.title | IEE-INST ELEC ENG | - |
dc.citation.volume | 35 | - |
dc.contributor.affiliatedAuthor | Choi, S | - |
dc.identifier.scopusid | 2-s2.0-0032625141 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 1 | - |
dc.description.scptc | 1 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
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