000923648 000__ 03084cam\a2200433Ii\4500
000923648 001__ 923648
000923648 005__ 20230306150940.0
000923648 006__ m\\\\\o\\d\\\\\\\\
000923648 007__ cr\nn\nnnunnun
000923648 008__ 191129s2020\\\\sz\a\\\\ob\\\\001\0\eng\d
000923648 020__ $$a9783030290573
000923648 020__ $$a3030290573
000923648 020__ $$z9783030290566
000923648 0248_ $$a10.1007/978-3-030-29
000923648 035__ $$aSP(OCoLC)on1129184597
000923648 035__ $$aSP(OCoLC)1129184597
000923648 040__ $$aLQU$$beng$$cLQU$$dGW5XE$$dOCLCF
000923648 049__ $$aISEA
000923648 050_4 $$aTK5102.9
000923648 08204 $$a621.382
000923648 1001_ $$aDiniz, Paulo Sergio Ramirez,$$d1956-
000923648 24510 $$aAdaptive filtering :$$bAlgorithms and Practical Implementation /$$cPaulo S. R. Diniz.
000923648 250__ $$a5th ed.
000923648 264_1 $$aCham :$$bSpringer,$$c2020.
000923648 300__ $$a1 online resource (xviii, 495 pages) :$$billustrations.
000923648 336__ $$atext$$btxt$$2rdacontent
000923648 337__ $$acomputer$$bc$$2rdamedia
000923648 338__ $$aonline resource$$bcr$$2rdacarrier
000923648 504__ $$aIncludes bibliographical references and index.
000923648 5050_ $$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.
000923648 506__ $$aAccess limited to authorized users.
000923648 520__ $$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.
000923648 650_0 $$aAdaptive signal processing.
000923648 650_0 $$aAdaptive filters.
000923648 650_0 $$aSignal processing$$xDigital techniques.
000923648 852__ $$bebk
000923648 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-29057-3$$zOnline Access$$91397441.1
000923648 909CO $$ooai:library.usi.edu:923648$$pGLOBAL_SET
000923648 980__ $$aEBOOK
000923648 980__ $$aBIB
000923648 982__ $$aEbook
000923648 983__ $$aOnline
000923648 994__ $$a92$$bISE