Series of edited papers on Independent Component Analysis, containing theory and applications.
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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 graduate students and researchers in the field.' Zentralblatt MATH
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 on the subject. The theory is reviewed and many applications are described. Ideal for researchers and graduate students in the field.
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