Separation of sources: A geometry-based procedure for reconstruction of n-valued signals

Abstract In many Signal Processing applications, data sampled by sensors comprise a mixture of signals from different sources. The problem of separation lies in the reconstruction of sources from the mixtures. In this paper a new method is proposed for the separation of mixed digital sources, based on geometrical considerations, which is applied to the separation of binary and n-valued sources. After a brief introduction, we present the principles of the new method and provide a description of the algorithms together with examples to illustrate their efficiency and utility.

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