000 | 04528nam a22006135i 4500 | ||
---|---|---|---|
001 | 978-3-030-64977-7 | ||
003 | DE-He213 | ||
005 | 20220801220615.0 | ||
007 | cr nn 008mamaa | ||
008 | 210202s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030649777 _9978-3-030-64977-7 |
||
024 | 7 |
_a10.1007/978-3-030-64977-7 _2doi |
|
050 | 4 | _aTK5102.9 | |
072 | 7 |
_aTJF _2bicssc |
|
072 | 7 |
_aUYS _2bicssc |
|
072 | 7 |
_aTEC008000 _2bisacsh |
|
072 | 7 |
_aTJF _2thema |
|
072 | 7 |
_aUYS _2thema |
|
082 | 0 | 4 |
_a621.3822 _223 |
100 | 1 |
_aDeville, Yannick. _eauthor. _0(orcid)0000-0002-8769-2446 _1https://orcid.org/0000-0002-8769-2446 _4aut _4http://id.loc.gov/vocabulary/relators/aut _951289 |
|
245 | 1 | 0 |
_aNonlinear Blind Source Separation and Blind Mixture Identification _h[electronic resource] : _bMethods for Bilinear, Linear-quadratic and Polynomial Mixtures / _cby Yannick Deville, Leonardo Tomazeli Duarte, Shahram Hosseini. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aIX, 71 p. 7 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 |
|
505 | 0 | _aIntroduction -- Expressions and variants of the linear-quadratic mixing model -- Invertibility of mixing model, separating structures -- Independent component analysis and Bayesian separation methods -- Matrix factorization methods -- Sparse component analysis methods -- Extensions and conclusion -- Bilinear Sparse Component Analysis methods based on single source zones -- Conclusion. | |
520 | _aThis book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communities. Presents advanced configurations of the blind source separation problem, involving bilinear, linear-quadratic and polynomial mixing models; Provides a detailed and coherent description of the methods reported in the literature for handling these types of mixing phenomena; Focuses on complex configurations involving nonlinear mixing transforms. | ||
650 | 0 |
_aSignal processing. _94052 |
|
650 | 0 |
_aImage processing—Digital techniques. _931565 |
|
650 | 0 |
_aComputer vision. _951290 |
|
650 | 0 |
_aComputational intelligence. _97716 |
|
650 | 0 |
_aMathematics—Data processing. _931594 |
|
650 | 1 | 4 |
_aDigital and Analog Signal Processing. _936907 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aComputational Mathematics and Numerical Analysis. _931598 |
700 | 1 |
_aDuarte, Leonardo Tomazeli. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _951291 |
|
700 | 1 |
_aHosseini, Shahram. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _951292 |
|
710 | 2 |
_aSpringerLink (Online service) _951293 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030649760 |
776 | 0 | 8 |
_iPrinted edition: _z9783030649784 |
830 | 0 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 _951294 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-64977-7 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c78743 _d78743 |