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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yu, Xianchuan
Otros Autores: Hu, Dan, Ph.D, Xu, Jindong
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : John Wiley & Sons Singapore Pte. Ltd., 2014.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.