04711cam a2200661 i 4500 ocn855858321 OCoLC 20171106090856.0 m o d cr ||||||||||| 130813s2014 si ob 001 0 eng 2013033014 9781118679869 (Adobe PDF) 1118679865 (Adobe PDF) 9781118679876 (ePub) 1118679873 (ePub) 9781118679852 (electronic book) 1118679857 (electronic book) 9781118679845 (cloth) 1118679849 (cloth) AU@ 000051853001 NZ1 15495690 NZ1 15906615 CHVBK 334095069 CHBIS 010441817 DEBSZ 431609667 DEBBG BV043396160 (OCoLC)855858321 (OCoLC)868491293 (OCoLC)908035446 DLC eng rda pn DLC YDX N$T DG1 E7B YDXCP WAU CDX OCLCF COO OCLCO OCLCQ EBLCP IDEBK DEBSZ DEBBG pcc MAIN TK5102.9 TEC 009070 bisacsh 621.382/2 23 Yu, Xianchuan. Blind source separation : theory and applications / Xianchuan Yu, Dan Hu, Jindong Xu. [electronic resource] Singapore : John Wiley & Sons Singapore Pte. Ltd., 2014. 1 online resource (xix, 366 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. PART 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. "This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field"--Provided by publisher. Print version record and CIP data provided by publisher. Blind source separation. TECHNOLOGY & ENGINEERING Mechanical. bisacsh Blind source separation. fast (OCoLC)fst01739925 Blind source separation Handbooks, manuals, etc. Blind source separation. Electronic books. Electronic books. Hu, Dan, Ph.D. Xu, Jindong. Print version: Yu, Xianchuan. Blind source separation. Singapore : John Wiley & Sons Singapore Pte. Ltd., 2014 9781118679845 (DLC) 2013031750 (OCoLC)855858254 http://onlinelibrary.wiley.com/book/10.1002/9781118679852 Wiley Online Library ddc BK 206944 206944