Nonlinear source separation
The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowled...
| Main Author: | |
|---|---|
| Format: | Electronic |
| Language: | English |
| Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
c2006.
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| Edition: | 1st ed. |
| Series: | Synthesis lectures on signal processing (Online),
#2. |
| Subjects: | |
| Online Access: | Abstract with links to full text |
Table of Contents:
- Acknowledgments
- Notation
- Preface
- 1. Introduction.
- 1.1. Basic concepts
- 1.2. Summary
- 2. Linear source separation
- 2.1. Statement of the problem
- 2.2. INFOMAX
- 2.3. Exploiting the time-domain structure
- 2.4. Other methods : JADE and FastICA
- 2.5. Summary
- 3. Nonlinear separation
- 3.1. Post-nonlinear mixtures
- 3.2. Unconstrained nonlinear separation
- 3.3. Conclusion
- 4. Final comments
- A. Statistical concepts
- A.1. Passing a random variable through its cumulative distribution function
- A.2. Entropy
- A.3. Kullback-Leibler divergence
- A.4. Mutual information
- B. Online software and data.