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Fast-Convergence Algorithm for Blind Source Separation Based on Array Signal Processing

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dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Toshiya Kawamura en
dc.contributor.author Tsuyoki Nishikawa en
dc.contributor.author Kiyohiro Shikano en
dc.date.accessioned 2012-07-05T07:00:40Z en
dc.date.available 2012-07-05T07:00:40Z en
dc.date.issued 2003-03 en
dc.identifier.issn 0916-8508 en
dc.identifier.uri http://hdl.handle.net/10061/7787 en
dc.description.abstract We propose a now algorithm for blind source separation (BSS), in which independent component analysis (ICA) and bram forming arc combined to resolve the lowconvergence problem through optimization in ICA. The proposed method consists of the following two parts: frequency-domain ICA with direction-of-arrival (DOA) estimation, and null beamforming based on the estimated DOA. The alternation of learning between ICA and beamforming can realize fast- and high-convergence optimization. The results of the signal separation experiments reveal that the signal separation performance of the proposed algorithm is superior to that of the conventional ICA-based BSS method. en
dc.language.iso en en
dc.publisher 電子情報通信学会 ja
dc.rights Copyright (C) 2003 電子情報通信学会. ja
dc.subject blind source separation en
dc.subject microphone array en
dc.subject independent component analysis en
dc.subject beamforming en
dc.title Fast-Convergence Algorithm for Blind Source Separation Based on Array Signal Processing en
dc.type.nii Journal Article en
dc.textversion publisher en
dc.identifier.ncid AA10826239 en
dc.identifier.jtitle IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences en
dc.identifier.volume E86-A en
dc.identifier.issue 3 en
dc.identifier.spage 634 en
dc.identifier.epage 639 en
dc.identifier.url https://search.ieice.org/ en
dc.relation.isIdenticalTo http://ci.nii.ac.jp/naid/110003212637 en


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