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Independent component analysis : principles and practice

Author: Stephen Roberts; Richard Everson
Publisher: Cambridge ; New York : Cambridge University Press, 2001.
Edition/Format:   Print book : EnglishView all editions and formats
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Independent Component Analysis is an important tool for modelling and understanding empirical datasets consisting of mixtures of independent sources. This book contains papers by leading researchers  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Stephen Roberts; Richard Everson
ISBN: 0521792983 9780521792981
OCLC Number: 45314051
Description: xii, 338 pages : illustrations ; 24 cm
Contents: Fast ICA by a fixed-point algorithm that maximizes non-gaussianity / Aapo Hyvarinen --
ICA, graphical models and variational methods / H. Attias --
Nonlinear ICA / J. Karhunen --
Separation of non-stationary natural signals / Lucas C. Parra & Clay D. Spence --
Separation of non-stationary sources / Jean-Francois Cardoso & Dinh-Tuan Pham --
Blind source separation by sparse decomposition in a signal dictionary / M. Zibulevsky, B.A. Pearlmutter, P. Bofill & P. Kisilev --
Ensemble learning for blind source separation / J.W. Miskin & D.J.C. MacKay --
Image processing methods using ICA mixture models / T.-W. Lee & M.S. Lewicki --
Latent class and trait models for data classification and visualisation / M.A. Girolami --
Particle filters for non-stationary ICA / R.M. Everson & S.J. Roberts --
ICA / W.D. Penny, S.J. Roberts & R.M. Everson.
Responsibility: edited by Stephen Roberts, Richard Everson.
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'The book is intended to be a self-contained introduction and overview of this important development and it appears to meet the requirement admirably.' Alex M. Andrew, Robotica '... is ideal for Read more...

 
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