| 000 | 03810nam a2200517 i 4500 | ||
|---|---|---|---|
| 001 | 6267342 | ||
| 003 | IEEE | ||
| 005 | 20220712204635.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151223s2004 maua ob 001 eng d | ||
| 020 |
_z9780262693158 _qprint |
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| 020 |
_a9780262257046 _qebook |
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| 020 |
_z1417575034 _qelectronic |
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| 020 |
_z0262257041 _qelectronic |
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| 035 | _a(CaBNVSL)mat06267342 | ||
| 035 | _a(IDAMS)0b000064818b431c | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQA76.87 _b.S78 2004eb |
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| 082 | 0 | 4 |
_a006.3/2 _222 |
| 100 | 1 |
_aStone, James V., _eauthor. _922244 |
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| 245 | 1 | 0 |
_aIndependent component analysis : _ba tutorial introduction / _cJames V. Stone. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2004. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2004] |
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| 300 |
_a1 PDF (xviii, 193 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 500 | _a"A Bradford book." | ||
| 504 | _aIncludes bibliographical references (p. [183]-190) and index. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aIndependent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to telecommunications and stock predictions.In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method.An overview establishes the strategy implicit in ICA in terms of its essentially physical underpinnings and describes how ICA is based on the key observations that different physical processes generate outputs that are statistically independent of each other. The book then describes what Stone calls "the mathematical nuts and bolts" of how ICA works. Presenting only essential mathematical proofs, Stone guides the reader through an exploration of the fundamental characteristics of ICA.Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/23/2015. | ||
| 650 | 0 |
_aNeural networks (Computer science) _93414 |
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| 650 | 0 |
_aMultivariate analysis. _915748 |
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| 650 | 7 |
_aCOMPUTERS _xNeural Networks. _2bisacsh _922245 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _922246 |
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| 710 | 2 |
_aMIT Press, _epublisher. _922247 |
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| 710 | 2 |
_aNetLibrary, Inc. _922248 |
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| 776 | 0 | 8 |
_iPrint version _z9780262693158 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267342 |
| 942 | _cEBK | ||
| 999 |
_c72997 _d72997 |
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