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010   $a3-030-29057-3
024 7 $a10.1007/978-3-030-29057-3
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035   $a(DE-He213)978-3-030-29057-3
035   $a(EXLCZ)994100000009940168
100   $a20191128d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdaptive Filtering $eAlgorithms and Practical Implementation /$fby Paulo S. R. Diniz
205   $a5th ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (505 pages) $cillustrations
300   $aIncludes index.
311   $a3-030-29056-5 
327   $aIntroduction to Adaptive Filtering -- Fundamentals of Adaptive Filtering -- The Least-Mean-Square (LMS) Algorithm -- LMS-Based Algorithms -- LMS-Based Algorithms -- Conventional RLS Adaptive Filter -- Set-Membership 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 -- Kalman Filtering -- Complex Differentiation -- Quantization Effects in the LMS Algorithm -- Quantization Effects in the RLS Algorithm -- Analysis of Set-Membership Affine Projection Algorithm -- Index.
330   $aIn the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ?Kalman Filtering? is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aElectronic circuits
606   $aElectrical engineering
606   $aAutomatic control
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aElectronic circuits.
615  0$aElectrical engineering.
615  0$aAutomatic control.
615 14$aSignal, Image and Speech Processing.
615 24$aCircuits and Systems.
615 24$aCommunications Engineering, Networks.
615 24$aControl and Systems Theory.
676   $a621.3822
700   $aDiniz$b Paulo S. R$4aut$4http://id.loc.gov/vocabulary/relators/aut$0762909
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910366585703321
996   $aAdaptive Filtering$91922146
997   $aUNINA