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A new On-Line Negentropy-based Algorithm for Blind Source Separation

Maha Mohamed Elsabrouty, Martin Bouchard, T. Aboulnasr

Open publisher page 2 citations

Abstract

Negentropy is one of the principal techniques for independent component analysis. It serves as a multi-purpose tool for both blind signal separation (BSS) and blind signal extraction (BSE). However, the main and most widely used algorithm based on negentropy, namely Fast-IC works in batch mode. A fast on-line operation with a fast convergence rate is very useful in tracking non-stationary sources. In this paper, we modify the cost function of negentropy to produce an improved on-line algorithm. Simulation results of the proposed algorithm prove its good performance and remarkable convergence rate.

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What this paper is about

Negentropy is one of the principal techniques for independent component analysis. It serves as a multi-purpose tool for both blind signal separation (BSS) and blind signal extraction (BSE). However, the main and most widely used algorithm based on negentropy, namely Fast-IC works in batch mode. A fast on-line operation with a fast convergence rate is very useful in tracking non-stationary sources. In this paper, we modify the cost function of negentropy to produce an improved on-line algorithm. Simulation results of the proposed algorithm prove its good performance and remarkable convergence rate.

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Available abstract

Negentropy is one of the principal techniques for independent component analysis. It serves as a multi-purpose tool for both blind signal separation (BSS) and blind signal extraction (BSE). However, the main and most widely used algorithm based on negentropy, namely Fast-IC works in batch mode. A fast on-line operation with a fast convergence rate is very useful in tracking non-stationary sources. In this paper, we modify the cost function of negentropy to produce an improved on-line algorithm. Simulation results of the proposed algorithm prove its good performance and remarkable convergence rate.

Key concepts: Negentropy, Blind signal separation, Independent component analysis, Convergence (economics), Computer science, Algorithm, FastICA, Principal component analysis

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