Discrete-time signal processing [Texte imprimé] / Darrell Williamson

Public ISBD Titre : Discrete-time signal processing [Texte imprimé] : an Algebraic approach Type de document : texte imprimé Auteurs : Darrell Williamson Editeur : New York : Springer Année de publication : 1999 Collection : Advanced textbooks in control and signal processing, ISSN 1439-2232 Importance : XV-421p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-85233-161-0 Prix : 13800.00 Note générale : Index Langues : Anglais (eng) Catégories : 620 Ingénierie et activités connexes Mots-clés : Signal processing : Mathematics  Discrete-time systems  Digital filters (Mathematics)  Traitement du signal : Mathématiques  Systèmes échantillonnés Index. décimale : 621.382 2 Résumé : The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary battle between old and new usually takes place at conferences, through the internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. The applications ofsignal processing techniques have grown and grown. They now cover the wide range from the statistical properties of signals and data through to the hardware problems of communications in all its diverse aspects. Supporting this range ofapplications is a body of theory, analysis and techniques which is equally broad. Darrell Williamson has faced the difficult task of organising this material by adopting an algebraic approach. This uses general mathematical and systems ideas and results to form a firm foundation for the discrete signal processing paradigm. Although this may require some extra concentration and involvement by the student or researcher, the rewards are a clarity of presentation and deeper insight into the power of individual results. An additional benefit is that the algebraic language used is the natural language of computing tools like MATLAB and its simulation facility, SIMULINK. Discrete-time signal processing [Texte imprimé] : an Algebraic approach [texte imprimé] / Darrell Williamson . - New York : Springer, 1999 . - XV-421p. : ill. ; 24 cm. - (Advanced textbooks in control and signal processing, ISSN 1439-2232) . ISBN : 978-1-85233-161-0 : 13800.00 Index Langues : Anglais (eng) Catégories : 620 Ingénierie et activités connexes Mots-clés : Signal processing : Mathematics  Discrete-time systems  Digital filters (Mathematics)  Traitement du signal : Mathématiques  Systèmes échantillonnés Index. décimale : 621.382 2 Résumé : The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary battle between old and new usually takes place at conferences, through the internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. The applications ofsignal processing techniques have grown and grown. They now cover the wide range from the statistical properties of signals and data through to the hardware problems of communications in all its diverse aspects. Supporting this range ofapplications is a body of theory, analysis and techniques which is equally broad. Darrell Williamson has faced the difficult task of organising this material by adopting an algebraic approach. This uses general mathematical and systems ideas and results to form a firm foundation for the discrete signal processing paradigm. Although this may require some extra concentration and involvement by the student or researcher, the rewards are a clarity of presentation and deeper insight into the power of individual results. An additional benefit is that the algebraic language used is the natural language of computing tools like MATLAB and its simulation facility, SIMULINK.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
102308	621.382 2 WIL.	Livre	Bibliothèque Centrale de l'Université de Bouira	Fonds Français	Disponible

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