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Adaptive filtering : algorithms and practical implementation / par Diniz, Paulo S.R. Publication : [S.l.] : Springer, 2008 . 632 p. ; , This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unifed framework using clear notations that facilitate actual implementation. The main algorithms are described in tables which are detailed enough to allow the reader to verify the learned concepts. Many examples address problems drawn from actual applications. This book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. Several problems are included at the end of chapters and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test all of the algorithms in a fast manner. Additionally, the book provides easy access to working algorithms for practicing engineers. The book has a solutions manual that is available from the publisher for instructors. Another resource for instructors is a set of master transparencies as a MATLAB Package including the MATLAB codes for all the algorithms described in the text which is available from the author. The author also has a webpage for the book. 27 cm. Date : 2008 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (1),

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MODAL ARRAY SIGNAL PROCESSING : PRINCIPLES AND APPLICATIONS OF ACOUSTIC WAVEFIELD DECOMPOSITION / par Teutsch, Heinz. Publication : [S.l.] : Springer, 2007 . 253 p. ; , Many applications of acoustic signal processing, such as teleconferencing and surveillance systems, require an estimate of several parameters present in the observed acoustic wavefield. The most important parameters are the number as well as the location of active acoustic sources. This book deals with the problem of detecting and localizing multiple simultaneously active wideband acoustic sources by applying the notion of wavefield decomposition using circular and spherical microphone arrays. The decomposed wavefield representation is used to serve as a basis for so-called modal array signal processing algorithms, which have the significant advantage over classical array signal processing algorithms that they inherently support multiple wideband acoustic sources. A rigorous derivation of modal array signal processing algorithms for unambiguous source detection and localization as well as performance evaluations by means of measurements using an actual real-time capable implementation are discussed. 24 cm. Date : 2007 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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