KAMICA, a new deflation ICA algorithm based on Kurtosis alternating maximization

In this article, a new Kurtosis based deflation Independent Component Analysis (ICA) algorithm is proposed. Contrary to conventional Kurtosis based deflation ICA algorithms where the separator vector is obtained by optimizing a given Kurtosis-based objective function using gradient-like approaches,...

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Bibliographic Details
Main Authors: Karfoul, Ahmad, Saleh, Majd
Format: Conference Proceeding
Language:English
Subjects:
Electrocardiography
Independent component analysis
Linear programming
Noise reduction
Particle separators
Sensor systems
Source separation
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Summary:In this article, a new Kurtosis based deflation Independent Component Analysis (ICA) algorithm is proposed. Contrary to conventional Kurtosis based deflation ICA algorithms where the separator vector is obtained by optimizing a given Kurtosis-based objective function using gradient-like approaches, the proposed algorithm performs a component-wise optimization of this separator vector through an alternating maximization strategy. This leads to an exact computation of each component of the separator vector by simply rooting a 4-th order polynomial derived from the objective function. The good performance of the proposed algorithm is confirmed and compared to two well known ICA algorithms, namely FastICA and RobustICA.
ISSN:2576-2303
DOI:10.1109/IEEECONF53345.2021.9723250