Sinossi
Presents research achievements from signal processing and related disciplines. This book helps readers discover applications that solve biomedical, industrial, and environmental problems.
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Dalla quarta di copertina
This state-of-the-art resource brings together the latest findings from the cross-fertilization of signal processing, machine learning and 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 others used frequently in these fields. Also included are both important and novel applications from telecommunications, renewable energy and biomedical engineering.
Signal Processing Techniques for Knowledge Extraction and Information Fusion which 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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SIGNAL PROCESSING TECHNIQUES FOR KNOWLEDGE EXTRACTION AND INFORMATION FUSION
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Buch. Condizione: 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. Codice articolo 9780387743660
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Condizione: 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. Codice articolo 458430318
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Buch. Condizione: 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. Codice articolo 9780387743660
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