000			03291nam a22003855i 4500
001			86586
003			ES-MaUEC
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007			cr nn 008mamaa
008			150722s2016 ja | s |||| 0|eng d
020			_a9784431557388
040			_aES-MaUEC
050		4	_aTK7872.F5 _bO945 2016
082	0	4	_a621.382
100	1		_aOzeki, Kazuhiko. _9100417 _0Local
245	1	0	_aTheory of Affine Projection Algorithms for Adaptive Filtering _cby Kazuhiko Ozeki
260			_aTokyo _bSpringer Japan _c2016
300			_a1 recurso en línea (XII, 223 páginas) _b32 ilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aMathematics for Industry _x2198-350X _v22
505	0		_aIntroduction -- Classical Adaptation Algorithms -- Affine Projection Algorithm -- Family of Affine Projection Algorithms -- Convergence Behavior of APA -- Reduction of Computational Complexity -- Kernel Affine Projection Algorithm -- Variable Parameter APAs -- Appendix; Matrices.
520	3		_aThis book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filtering. The APA is a natural generalization of the classical, normalized least-mean-squares (NLMS) algorithm. The book first explains how the APA evolved from the NLMS algorithm, where an affine projection view is emphasized. By looking at those adaptation algorithms from such a geometrical point of view, we can find many of the important properties of the APA, e.g., the improvement of the convergence rate over the NLMS algorithm especially for correlated input signals. After the birth of the APA in the mid-1980s, similar algorithms were put forward by other researchers independently from different perspectives. This book shows that they are variants of the APA, forming a family of APAs. Then it surveys research on the convergence behavior of the APA, where statistical analyses play important roles. It also reviews developments of techniques to reduce the computational complexity of the APA, which are important for real-time processing. It covers a recent study on the kernel APA, which extends the APA so that it is applicable to identification of not only linear systems but also nonlinear systems. The last chapter gives an overview of current topics on variable parameter APAs. The book is self-contained, and is suitable for graduate students and researchers who are interested in advanced theory of adaptive filtering.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650		7	_aModelos matemáticos _0comprobar BNE19900964919 _2embne _9405064
650		7	_aGeometría proyectiva _0comprobar BNE19923473186 _2embne _9146373
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-4-431-55738-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9784431557388
907			_a.b12958645 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _gja _h0
945			_aTK7872.F5 O945 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11600202 _z06-04-17
999			_c86586 _d86586 _x1