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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.