论文信息 - Independent Component Analysis of Time/Position Varying Mixtures

Independent Component Analysis of Time/Position Varying Mixtures

Blind Source Separation (BSS) is a well known problem that has been addressed in numerous studies in the last few decades. Most of the studies in this field address the problem of time/position invariant mixtures of multiple sources. Real problems are however usually not time and/or position invariant, and much more complicated. We present an extension of the Maximum Likelihood (ML) Independent Component Analysis (ICA) approach to time variant instantaneous mixtures.

Yehoshua Y. Zeevi | Michael Shamis

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