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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shi, Xizhi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Signal processing.
Computer science-Mathematics.
Telecommunication.
Computer vision.
Signal, Speech and Image Processing .
Mathematical Applications in Computer Science.
Communications Engineering, Networks.
Computer Vision.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Blind Signal Processing  |h [electronic resource] :  |b Theory and Practice /  |c by Xizhi Shi. 
250 |a 1st ed. 2011. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2011. 
300 |a XIV, 368 p.  |b online resource. 
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505 0 |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. 
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. 
650 0 |a Signal processing. 
650 0 |a Computer science-Mathematics. 
650 0 |a Telecommunication. 
650 0 |a Computer vision. 
650 1 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Mathematical Applications in Computer Science. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Computer Vision. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642113697 
776 0 8 |i Printed edition:  |z 9783642113468 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-11347-5  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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