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Synopsis
This book brings together the latest research achievements from various areas of signal processing and related disciplines. It aims to present knowledge extraction and information fusion supported by state-of-the-art background material. Within the book contributions presenting both novel algorithms and existing applications, especially those (but not restricted to) on-line processing of real world data are included. The areas of Knowledge Extraction and Information Fusion are naturally linked, and the subject is of major interest for modern biomedical, environmental, and industrial applications. This provides the state-of-the-art and proposes new techniques in order to combine heterogeneous information sources.
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Signal Processing Techniques for Knowledge Extraction and Information Fusion (Information Technology: Transmission, Processing and Storage)
Edité par
Springer, 2008
ISBN 10 : 0387743669
ISBN 13 : 9780387743660
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Signal Processing Techniques for Knowledge Extraction and Information Fusion
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Etat : New. pp. 344. N° de réf. du vendeur 26294427
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Signal Processing Techniques for Knowledge Extraction and Information Fusion
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Signal Processing Techniques for Knowledge Extraction and Information Fusion
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SIGNAL PROCESSING TECHNIQUES FOR KNOWLEDGE EXTRACTION AND INFORMATION FUSION
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Signal Processing Techniques For Knowledge Extraction And Information Fusion
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Signal Processing Techniques For Knowledge Extraction And Information Fusion
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-87879
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Signal Processing Techniques for Knowledge Extraction and Information Fusion (Information Technology: Transmission, Processing and Storage)
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Signal Processing Techniques for Knowledge Extraction and Information Fusion
Edité par
Springer Us Apr 2008, 2008
ISBN 10 : 0387743669
ISBN 13 : 9780387743660
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. 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. N° de réf. du vendeur 9780387743660
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Signal Processing Techniques for Knowledge Extraction and Information Fusion
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. 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. N° de réf. du vendeur 9780387743660
Quantité disponible : 2 disponible(s)