Synopsis
With rapid development in Communication technology, Network technology and Computer technology we have advanced in to a digital and information era, with digital signal processing as one of the key links. Blind Signal Separation being an emerging technology is very attractive option for use in many fields such as voice processing, sonar and seismic signal processing, biomedical engineering, mobile communications and remote sensing image processing applications. In real-world applications most measured signals are contaminated by additive noise influencing reduction in signal separation algorithm performance. In this book, the performance metrics such as signal mean square error , signal to noise ratio of BSS and wavelet based denoising algorithms were studied and analysed. Further, these performances were studied under different noise conditions and models. Modified existing denoising and BSS algorithms to enhance their performance under noisy conditions.
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Performance Analysis of Blind Signal Separation Algorithms
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LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202065923
ISBN 13: 9786202065924
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With rapid development in Communication technology, Network technology and Computer technology we have advanced in to a digital and information era, with digital signal processing as one of the key links. Blind Signal Separation being an emerging technology is very attractive option for use in many fields such as voice processing, sonar and seismic signal processing, biomedical engineering, mobile communications and remote sensing image processing applications. In real-world applications most measured signals are contaminated by additive noise influencing reduction in signal separation algorithm performance. In this book, the performance metrics such as signal mean square error , signal to noise ratio of BSS and wavelet based denoising algorithms were studied and analysed. Further, these performances were studied under different noise conditions and models. Modified existing denoising and BSS algorithms to enhance their performance under noisy conditions. 192 pp. Englisch. Seller Inventory # 9786202065924
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Performance Analysis of Blind Signal Separation Algorithms
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ISBN 13: 9786202065924
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Performance Analysis of Blind Signal Separation Algorithms
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anumula JanardhanProf .A . JANARDHAN received AMIETE, M.Tech and PhD degrees in Electronics and Communication Engineering from IETE, New Delhi in 1979 and Jawaharlal Nehru Technological University Hyderabad in 1986 and 2017. He has p. Seller Inventory # 385924241
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Performance Analysis of Blind Signal Separation Algorithms
Published by
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202065923
ISBN 13: 9786202065924
New
Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With rapid development in Communication technology, Network technology and Computer technology we have advanced in to a digital and information era, with digital signal processing as one of the key links. Blind Signal Separation being an emerging technology is very attractive option for use in many fields such as voice processing, sonar and seismic signal processing, biomedical engineering, mobile communications and remote sensing image processing applications. In real-world applications most measured signals are contaminated by additive noise influencing reduction in signal separation algorithm performance. In this book, the performance metrics such as signal mean square error , signal to noise ratio of BSS and wavelet based denoising algorithms were studied and analysed. Further, these performances were studied under different noise conditions and models. Modified existing denoising and BSS algorithms to enhance their performance under noisy conditions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch. Seller Inventory # 9786202065924
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Performance Analysis of Blind Signal Separation Algorithms
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202065923
ISBN 13: 9786202065924
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With rapid development in Communication technology, Network technology and Computer technology we have advanced in to a digital and information era, with digital signal processing as one of the key links. Blind Signal Separation being an emerging technology is very attractive option for use in many fields such as voice processing, sonar and seismic signal processing, biomedical engineering, mobile communications and remote sensing image processing applications. In real-world applications most measured signals are contaminated by additive noise influencing reduction in signal separation algorithm performance. In this book, the performance metrics such as signal mean square error , signal to noise ratio of BSS and wavelet based denoising algorithms were studied and analysed. Further, these performances were studied under different noise conditions and models. Modified existing denoising and BSS algorithms to enhance their performance under noisy conditions. Seller Inventory # 9786202065924
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Performance Analysis of Blind Signal Separation Algorithms
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202065923
ISBN 13: 9786202065924
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Taschenbuch. Condition: Neu. Performance Analysis of Blind Signal Separation Algorithms | Janardhan Anumula (u. a.) | Taschenbuch | 192 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202065924 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 110533943