Blind Signal Processing : Theory and Practice

"Blind Signal Processing: Theory and Practice" not only introduces related fundamental mathematics, but also reflects the numerous advances in the field, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order...

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Bibliografiske detaljer
Hovedforfatter: Shi, Xizhi
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2011.
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Edition sous un autre format:• Blind Signal Processing, Texte imprimé, 9783642113468
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100 1 |a Shi, Xizhi. 
245 1 0 |a Blind Signal Processing :  |b Theory and Practice   |c by Xizhi Shi. 
250 |a 1st ed. 2011. 
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500 |a Archives Springer e-books (Licence nationale) 
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505 1 |a Chapter 1. Introduction Chapter 2. Mathematical Description of Blind Signal Processing Chapter 3. Independent Component Analysis (ICA) Chapter 4. Non-Linear Principal Component Analysis (PCA) and Feature Extraction Chapter 5. Non-Linear ICA Chapter 6. Convolutive Mixture and Blind Deconvolution Chapter 7. Probability Density Estimation Based Blind Processing Algorithm Chapter 8. Joint Approximate Diagonalization method - Features in Frequency Domain and Time Domain Chapter 9. Extension of Blind Signal Processing Chapter 10.Data Analysis and Application Study 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a "Blind Signal Processing: Theory and Practice" not only introduces related fundamental mathematics, but also reflects the numerous advances in the field, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order in the separation of convolutive mixtures in frequency domains, and feature extraction using Independent Component Analysis (ICA). At the end of the book, results from a study conducted at Shanghai Jiao Tong University in the areas of speech signal processing, underwater signals, image feature extraction, data compression, and the like are discussed. This book will be of particular interest to advanced undergraduate students, graduate students, university instructors and research scientists in related disciplines. Xizhi Shi is a Professor at Shanghai Jiao Tong University 
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