LEADER 03332nam 2200625 450 001 9910807022403321 005 20230803220801.0 010 $a1-118-67987-3 010 $a1-118-67985-7 010 $a1-118-67986-5 035 $a(CKB)2550000001189667 035 $a(EBL)1597380 035 $a(SSID)ssj0001107951 035 $a(PQKBManifestationID)11590611 035 $a(PQKBTitleCode)TC0001107951 035 $a(PQKBWorkID)11082658 035 $a(PQKB)11050797 035 $a(OCoLC)855858321 035 $a(MiAaPQ)EBC1597380 035 $a(DLC) 2013033014 035 $a(Au-PeEL)EBL1597380 035 $a(CaPaEBR)ebr10829269 035 $a(CaONFJC)MIL568592 035 $a(OCoLC)868491293 035 $a(EXLCZ)992550000001189667 100 $a20140129h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBlind source separation $etheory and applications /$fXianchuan Yu, Dan Hu, Jindong Xu 210 1$aSingapore :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (388 p.) 300 $aDescription based upon print version of record. 311 $a1-118-67984-9 311 $a1-306-37341-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPART I. Theory basics of BSS -- Mathematical foundation of blind source separation -- General model and classical algorithm for BSS -- Evaluation criteria for the bss algorithm -- PART II. Independent component analysis -- Independent component analysis -- Fast independent component analysis and its application -- Maximum likelihood independent component analysis and its application -- Overcomplete independent component analysis algorithms and applications -- Kernel independent component analysis -- Non-negative independent component analysis and its application -- Constraint independent component analysis algorithms and applications -- Optimized independent component analysis algorithms and applications -- Supervised learning independent component analysis algorithms and applications -- PART III. Advances and applications of BSS -- Non-negative matrix factorization algorithms and applications -- Sparse component analysis and applications -- Glossary. 330 $aA systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible sty 410 0$aWiley UBCM ebooks. 606 $aBlind source separation 615 0$aBlind source separation. 676 $a621.382/2 700 $aYu$b Xianchuan$01666176 701 $aHu$b Dan$01666177 701 $aXu$b Jindong$01666178 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910807022403321 996 $aBlind source separation$94025297 997 $aUNINA