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005 | 20220701010928.0 | ||
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008 | 130813s2014 si ob 001 0 eng | ||
010 | _a 2013033014 | ||
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_a9781118679869 _q(Adobe PDF) |
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_a1118679865 _q(Adobe PDF) |
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_a9781118679876 _q(ePub) |
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_a9781118679852 _q(electronic book) |
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_a1118679857 _q(electronic book) |
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_z1118679849 _q(cloth) |
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_a(OCoLC)855858321 _z(OCoLC)868491293 _z(OCoLC)908035446 |
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042 | _apcc | ||
050 | 0 | 0 | _aTK5102.9 |
072 | 7 |
_aTEC _x009070 _2bisacsh |
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082 | 0 | 0 |
_a621.382/2 _223 |
049 | _aMAIN | ||
100 | 1 | _aYu, Xianchuan. | |
245 | 1 | 0 |
_aBlind source separation : _btheory and applications / _cXianchuan Yu, Dan Hu, Jindong Xu. |
264 | 1 |
_aSingapore : _bJohn Wiley & Sons Singapore Pte. Ltd., _c2014. |
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300 | _a1 online resource (xix, 366 pages) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _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. | |
588 | 0 | _aPrint version record and CIP data provided by publisher. | |
520 | _a"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. | ||
650 | 0 | _aBlind source separation. | |
650 | 7 |
_aTECHNOLOGY & ENGINEERING _xMechanical. _2bisacsh |
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650 | 7 |
_aBlind source separation. _2fast _0(OCoLC)fst01739925 |
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650 | 4 |
_aBlind source separation _xHandbooks, manuals, etc. |
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650 | 4 | _aBlind source separation. | |
655 | 4 | _aElectronic books. | |
655 | 0 | _aElectronic books. | |
700 | 1 |
_aHu, Dan, _cPh.D. |
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700 | 1 | _aXu, Jindong. | |
776 | 0 | 8 |
_iPrint version: _aYu, Xianchuan. _tBlind source separation. _dSingapore : John Wiley & Sons Singapore Pte. Ltd., 2014 _z9781118679845 _w(DLC) 2013031750 _w(OCoLC)855858254 |
856 | 4 | 0 |
_uhttp://dx.doi.org/10.1002/9781118679852 _zWiley Online Library |
994 |
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999 |
_c20773 _d20732 |