000751675 000__ 03448cam\a2200481Ii\4500 000751675 001__ 751675 000751675 005__ 20230306141216.0 000751675 006__ m\\\\\o\\d\\\\\\\\ 000751675 007__ cr\cn\nnnunnun 000751675 008__ 150727s2016\\\\ja\\\\\\ob\\\\001\0\eng\d 000751675 019__ $$a931579042$$a932322150 000751675 020__ $$a9784431557388$$q(electronic book) 000751675 020__ $$a4431557385$$q(electronic book) 000751675 020__ $$z9784431557371 000751675 0247_ $$a10.1007/978-4-431-55738-8$$2doi 000751675 035__ $$aSP(OCoLC)ocn914472247 000751675 035__ $$aSP(OCoLC)914472247$$z(OCoLC)931579042$$z(OCoLC)932322150 000751675 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dIDEBK$$dYDXCP$$dOCLCF$$dCOO$$dEBLCP$$dDEBSZ$$dOCLCQ 000751675 049__ $$aISEA 000751675 050_4 $$aTK7872.F5 000751675 08204 $$a621.3815324$$223 000751675 1001_ $$aOzeki, Kazuhiko,$$eauthor. 000751675 24510 $$aTheory of affine projection algorithms for adaptive filtering$$h[electronic resource] /$$cKazuhiko Ozeki. 000751675 264_1 $$aTokyo :$$bSpringer,$$c2016. 000751675 264_4 $$c©2016 000751675 300__ $$a1 online resource. 000751675 336__ $$atext$$btxt$$2rdacontent 000751675 337__ $$acomputer$$bc$$2rdamedia 000751675 338__ $$aonline resource$$bcr$$2rdacarrier 000751675 4901_ $$aMathematics for industry ;$$vvolume 22 000751675 504__ $$aIncludes bibliographical references and index. 000751675 5050_ $$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. 000751675 506__ $$aAccess limited to authorized users. 000751675 520__ $$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. 000751675 588__ $$aOnline resource; title from PDF title page (viewed July 28, 2015). 000751675 650_0 $$aAdaptive filters. 000751675 650_0 $$aAlgorithms. 000751675 77608 $$iPrint version:$$z9784431557371 000751675 830_0 $$aMathematics for industry (Springer (Firm)) ;$$vv. 22. 000751675 852__ $$bebk 000751675 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-4-431-55738-8$$zOnline Access$$91397441.1 000751675 909CO $$ooai:library.usi.edu:751675$$pGLOBAL_SET 000751675 980__ $$aEBOOK 000751675 980__ $$aBIB 000751675 982__ $$aEbook 000751675 983__ $$aOnline 000751675 994__ $$a92$$bISE