February 2010
Intermediate to advanced
856 pages
24h 59m
English
Blind source separation problems in linear mixtures have been intensively investigated and are now well understood; see for example [26,53,29]. Since 1985, many methods have been proposed [60,28,30,21,27,10,54], especially those based on independent component analysis (ICA) [31] exploiting the assumption of statistical independence of the source signals. These methods have been applied in various domains, and many examples can be found in application; see Chapters 16–19 of this book.
The linear mixing model, either without memory (instantaneous mixtures) or with memory (convolutive mixtures), is an approximated model, which is valid provided that the nonlinearities ...
Read now
Unlock full access