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Blind source separation (BSS), i.e., the decoupling of unknown signals thathave been mixed in an unknown way, has been a topic of great interest in thesignal processing community for the last decade, covering a wide range ofapplications in such diverse fields as digital communications, patternrecognition, biomedical engineering, and financial data analysis, among others.This course aims at an introduction to the BSS problem via an exposition ofwell-known and established as well as some more recent approaches to itssolution. A unified way is followed in presenting the various results so as tomore easily bring out their similarities/differences and emphasize theirrelative advantages/disadvantages. Only a representative sample of the existingknowledge on BSS will be included in this course. The interested readers areencouraged to consult the list of bibliographical references for more detailson this exciting and always active research topic.

Blind Source Separation: Fundamentals and Recent Advances (A Tutorial Overview Presented at SBrT-2001)