Time-frequency Feature Analysis: Applications in Multimedia and Biomedical Signal Classification - Brossura
Sinossi
Signal processing can be found in many applications and its primary goal is to provide underlying information for the purpose of decision making. However, most of the real-world signals are challenging in nature as they are nonstationary, i.e., their statistics are time variant. Therefore, time or frequency descriptions, alone, are insufficient to provide comprehensive information about these challenging signals. On the contrary, extracting joint time-varying frequency characteristics of signals has an immense potential for revealing the nonstationary behaviour of signals better. This book is an attempt to develop a generalized time-frequency (TF) analysis methodology that exploits the benefits of TF distribution in pattern classification systems as related to discriminant feature detection and feature classification. This book describes the traditional TF feature analysis along with recently proposed approaches. The theoretical properties of these methods are examined. Additionally, advantages of these approaches in various applications such as feature extraction and automated-decision making systems are demonstrated through examples of different synthetic and real-world signals.
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L'autore
Dr. Ghoraani is a PhD in Electrical and Computer Engineering. Her research interests center on time-frequency feature analysis, and Multimedia and Biomedical signal processing. Professor Krishnan is a Canada Research Chair in Biomedical Signal Analysis. His areas of interest include sparse signal analysis, and time-frequency signal processing.
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Time-frequency Feature Analysis
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LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3845435828
ISBN 13: 9783845435824
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Signal processing can be found in many applications and its primary goal is to provide underlying information for the purpose of decision making. However, most of the real-world signals are challenging in nature as they are nonstationary, i.e., their statistics are time variant. Therefore, time or frequency descriptions, alone, are insufficient to provide comprehensive information about these challenging signals. On the contrary, extracting joint time-varying frequency characteristics of signals has an immense potential for revealing the nonstationary behaviour of signals better. This book is an attempt to develop a generalized time-frequency (TF) analysis methodology that exploits the benefits of TF distribution in pattern classification systems as related to discriminant feature detection and feature classification. This book describes the traditional TF feature analysis along with recently proposed approaches. The theoretical properties of these methods are examined. Additionally, advantages of these approaches in various applications such as feature extraction and automated-decision making systems are demonstrated through examples of different synthetic and real-world signals. 328 pp. Englisch. Codice articolo 9783845435824
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Time-frequency Feature Analysis
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845435828
ISBN 13: 9783845435824
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ghoraani BehnazDr. Ghoraani is a PhD in Electrical and Computer Engineering. Her research interests center on time-frequency feature analysis, and Multimedia and Biomedical signal processing. Professor Krishnan is a Canada Resear. Codice articolo 5482452
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Time-frequency Feature Analysis
Editore:
LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3845435828
ISBN 13: 9783845435824
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Signal processing can be found in many applications and its primary goal is to provide underlying information for the purpose of decision making. However, most of the real-world signals are challenging in nature as they are nonstationary, i.e., their statistics are time variant. Therefore, time or frequency descriptions, alone, are insufficient to provide comprehensive information about these challenging signals. On the contrary, extracting joint time-varying frequency characteristics of signals has an immense potential for revealing the nonstationary behaviour of signals better. This book is an attempt to develop a generalized time-frequency (TF) analysis methodology that exploits the benefits of TF distribution in pattern classification systems as related to discriminant feature detection and feature classification. This book describes the traditional TF feature analysis along with recently proposed approaches. The theoretical properties of these methods are examined. Additionally, advantages of these approaches in various applications such as feature extraction and automated-decision making systems are demonstrated through examples of different synthetic and real-world signals.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 328 pp. Englisch. Codice articolo 9783845435824
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Time-frequency Feature Analysis : Applications in Multimedia and Biomedical Signal Classification
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845435828
ISBN 13: 9783845435824
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Signal processing can be found in many applications and its primary goal is to provide underlying information for the purpose of decision making. However, most of the real-world signals are challenging in nature as they are nonstationary, i.e., their statistics are time variant. Therefore, time or frequency descriptions, alone, are insufficient to provide comprehensive information about these challenging signals. On the contrary, extracting joint time-varying frequency characteristics of signals has an immense potential for revealing the nonstationary behaviour of signals better. This book is an attempt to develop a generalized time-frequency (TF) analysis methodology that exploits the benefits of TF distribution in pattern classification systems as related to discriminant feature detection and feature classification. This book describes the traditional TF feature analysis along with recently proposed approaches. The theoretical properties of these methods are examined. Additionally, advantages of these approaches in various applications such as feature extraction and automated-decision making systems are demonstrated through examples of different synthetic and real-world signals. Codice articolo 9783845435824
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Time-frequency Feature Analysis: Applications in Multimedia and Biomedical Signal Classification
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845435828
ISBN 13: 9783845435824
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