Blind Signal Separation for Digital Communication Data
Antoine Chevreuil* and Philippe Loubaton†, *ESIEE Paris/UMR 8049 LIGM, 2 bd Blaise Pascal BP 99, 93162 Noisy-le-grand cedex, France, †Université de Paris-Est Marne-la-Vallée, UMR 8049 LIGM, 5 bd Descartes, 77454 Marne-la-Vallée cedex 2, France
Abstract
Blind source separation, often called independent component analysis, is a main field of research in signal processing since the eighties. It consists in retrieving the components, up to certain indeterminacies, of a mixture involving statistically independent signals. Solid theoretical results are known; besides, they have given rise to performance algorithms. There are numerous applications of blind source separation. In this ...
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