PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Blind Identification of Complex Under-Determined Mixtures based on the Characteristic Function
Pierre Comon and Myriam Rajih
In: International Conference on Independent Component Analysis and Blind Signal Processing, September 22-24, Granada, Spain.

Abstract

Linear Mixtures of independent random variables (the so-called sources) are sometimes referred to as Under-Determined Mixtures (UDM) when the number of sources exceeds the dimension of the observation space. The algorithm proposed is able to identify algebraically a complex mixture of complex sources. It improves an algorithm proposed by the authors for mixtures received on a single sensor, also based on characteristic functions. Computer simulations demonstrate the ability of the algorithm to identify mixtures with typically 3 complex sources received on 2 sensors.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:138
Deposited By:Pierre Comon
Deposited On:31 May 2004