Blind source separation : theory and applications /
"This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image...
Κύριος συγγραφέας: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
John Wiley & Sons Singapore Pte. Ltd.,
2014.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- PART I. Theory basics of BSS
- Mathematical foundation of blind source separation
- General model and classical algorithm for BSS
- Evaluation criteria for the bss algorithm
- PART II. Independent component analysis
- Independent component analysis
- Fast independent component analysis and its application
- Maximum likelihood independent component analysis and its application
- Overcomplete independent component analysis algorithms and applications
- Kernel independent component analysis
- Non-negative independent component analysis and its application
- Constraint independent component analysis algorithms and applications
- Optimized independent component analysis algorithms and applications
- Supervised learning independent component analysis algorithms and applications
- PART III. Advances and applications of BSS
- Non-negative matrix factorization algorithms and applications
- Sparse component analysis and applications
- Glossary.