000			03577nam a22004815i 4500
001			978-0-387-68606-6
003			DE-He213
005			20250710084007.0
007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9780387686066 _a99780387686066
024	7		_a10.1007/978-0-387-68606-6 _2doi
100	1		_aDiniz, Paulo S. R. _eauthor.
245	1	0	_aAdaptive Filtering _h[recurso electrónico] : _bAlgorithms and Practical Implementation / _cby Paulo S. R. Diniz.
264		1	_aBoston, MA : _bSpringer US, _c2008.
300			_aXXIV, 627 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aTo Adaptive Filtering -- Fundamentals of Adaptive Filtering -- The Least-Mean-Square (LMS) Algorithm -- Lms-Based Algorithms -- Conventional Rls Adaptive Filter -- Data-Selective Adaptive Filtering -- Adaptive Lattice-Based Rls Algorithms -- Fast Transversal Rls Algorithms -- Qr-Decomposition-Based Rls Filters -- Adaptive Iir Filters -- Nonlinear Adaptive Filtering -- Subband Adaptive Filters -- Blind Adaptive Filtering.
520			_aAdaptive Filtering: Algorithms and Practical Implementation, Third Edition, presents basic concepts of adaptive signal processing and filtering in a concise and straightforward manner. It concentrates on on-line algorithms whose adaptation occurs whenever a new sample of each environment signal is available. The material also illustrates block algorithms using a sub-band filtering framework whose adaptation occurs when a new block of data is available. Highlights of the new edition include: Expanded treatment of complex algorithms throughout the book New chapters on Data-Selective and Blind Adaptive Filtering An enlarged discussion of linear-constrained Wiener filters Detailed analysis of the affine projection algorithm Updated derivations and many new examples A primer on Kalman filtering in Appendix D as a complement to RLS algorithms. Algorithms are presented in a unified framework using a consistent notation that facilitates their actual implementation. The main algorithms are summarized and described in tables. Many examples address problems drawn from actual applications. The family of LMS and RLS algorithms as well as set-membership, sub-band, blind, nonlinear and IIR adaptive filtering, are covered. Problems are included at the end of chapters. Adaptive Filtering: Algorithms and Practical Implementation, Third Edition, is intended for advanced undergraduate and graduate students studying adaptive filtering and will also serve as an up-to-date and useful reference for professional engineers working in the field.
650		0	_aENGINEERING.
650		0	_aPHYSICS.
650		0	_aCONTROL ENGINEERING SYSTEMS.
650		0	_aCOMPUTER ENGINEERING.
650		0	_aTELECOMMUNICATION.
650		0	_aSYSTEMS ENGINEERING.
650	1	4	_aENGINEERING.
650	2	4	_aSIGNAL, IMAGE AND SPEECH PROCESSING.
650	2	4	_aCIRCUITS AND SYSTEMS.
650	2	4	_aCOMMUNICATIONS ENGINEERING, NETWORKS.
650	2	4	_aCONTROL , ROBOTICS, MECHATRONICS.
650	2	4	_aCOMPLEXITY.
650	2	4	_aELECTRICAL ENGINEERING.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387312743
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-68606-6 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c57992 _d57992