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Ajouter au panierTaschenbuch. Etat : Neu. Signal Processing Techniques for Knowledge Extraction and Information Fusion | Danilo Mandic (u. a.) | Taschenbuch | xxii | Englisch | 2010 | Springer US | EAN 9781441944955 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierGebunden. Etat : New. Presents knowledge extraction and information fusion supported by state of the art background materialBrings together cutting edge research, both theoretical and applied, and reflects the state of the art both in terms of theory applied to biomedi.
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This state-of-the-art resourcebrings together the latest findingsfrom the cross-fertilization of signal processing, machine learningand computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with low signal-to-noise ratio, solving real-world multi-channel problems, and using adaptive techniques where nonstationarity, uncertainty and complexity play major roles are addressed. Particular methods include Independent Component Analysis, Support Vector Machines, Distributed and Collaborative Adaptive Filtering, Empirical Mode Decomposition, Self Organizing Maps, Fuzzy Logic, Evolutionary Algorithms and several othersused frequently in thesefields. Also included arebothimportant and novel applications from telecommunications, renewable energy and biomedical engineering.Signal Processing Techniques for Knowledge Extraction and Information Fusionwhich proposes new techniques for extracting knowledge based on combining heterogeneous information sources is an excellent reference for professionals in signal and image processing, machine learning, data and sensor fusion, computational intelligence, knowledge discovery, pattern recognition, and environmental science and engineering.
Langue: anglais
Edité par Springer US, Springer US, 2010
ISBN 10 : 1441944958 ISBN 13 : 9781441944955
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This state-of-the-art resourcebrings together the latest findingsfrom the cross-fertilization of signal processing, machine learningand computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with low signal-to-noise ratio, solving real-world multi-channel problems, and using adaptive techniques where nonstationarity, uncertainty and complexity play major roles are addressed. Particular methods include Independent Component Analysis, Support Vector Machines, Distributed and Collaborative Adaptive Filtering, Empirical Mode Decomposition, Self Organizing Maps, Fuzzy Logic, Evolutionary Algorithms and several othersused frequently in thesefields. Also included arebothimportant and novel applications from telecommunications, renewable energy and biomedical engineering.Signal Processing Techniques for Knowledge Extraction and Information Fusionwhich proposes new techniques for extracting knowledge based on combining heterogeneous information sources is an excellent reference for professionals in signal and image processing, machine learning, data and sensor fusion, computational intelligence, knowledge discovery, pattern recognition, and environmental science and engineering.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer US, Springer US Nov 2010, 2010
ISBN 10 : 1441944958 ISBN 13 : 9781441944955
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This state-of-the-art resourcebrings together the latest findingsfrom the cross-fertilization of signal processing, machine learningand computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with low signal-to-noise ratio, solving real-world multi-channel problems, and using adaptive techniques where nonstationarity, uncertainty and complexity play major roles are addressed. Particular methods include Independent Component Analysis, Support Vector Machines, Distributed and Collaborative Adaptive Filtering, Empirical Mode Decomposition, Self Organizing Maps, Fuzzy Logic, Evolutionary Algorithms and several othersused frequently in thesefields. Also included arebothimportant and novel applications from telecommunications, renewable energy and biomedical engineering.Signal Processing Techniques for Knowledge Extraction and Information Fusionwhich proposes new techniques for extracting knowledge based on combining heterogeneous information sources is an excellent reference for professionals in signal and image processing, machine learning, data and sensor fusion, computational intelligence, knowledge discovery, pattern recognition, and environmental science and engineering. 344 pp. Englisch.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This state-of-the-art resourcebrings together the latest findingsfrom the cross-fertilization of signal processing, machine learningand computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with low signal-to-noise ratio, solving real-world multi-channel problems, and using adaptive techniques where nonstationarity, uncertainty and complexity play major roles are addressed. Particular methods include Independent Component Analysis, Support Vector Machines, Distributed and Collaborative Adaptive Filtering, Empirical Mode Decomposition, Self Organizing Maps, Fuzzy Logic, Evolutionary Algorithms and several othersused frequently in thesefields. Also included arebothimportant and novel applications from telecommunications, renewable energy and biomedical engineering.Signal Processing Techniques for Knowledge Extraction and Information Fusionwhich proposes new techniques for extracting knowledge based on combining heterogeneous information sources is an excellent reference for professionals in signal and image processing, machine learning, data and sensor fusion, computational intelligence, knowledge discovery, pattern recognition, and environmental science and engineering. 320 pp. Englisch.
Vendeur : moluna, Greven, Allemagne
EUR 136,16
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents knowledge extraction and information fusion supported by state of the art background materialBrings together cutting edge research, both theoretical and applied, and reflects the state of the art both in terms of theory applied to biomedi.
Langue: anglais
Edité par Springer US, Springer US Nov 2010, 2010
ISBN 10 : 1441944958 ISBN 13 : 9781441944955
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.