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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Yu, Xianchuan
Άλλοι συγγραφείς: Hu, Dan, Ph.D, Xu, Jindong
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : John Wiley & Sons Singapore Pte. Ltd., 2014.
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.