Simple, Robust, and Memory-Efficient FastICA Algorithms Using the Huber M-Estimator Cost Function
نویسندگان
چکیده
منابع مشابه
Simple, Robust, and Memory-Efficient FastICA Algorithms Using the Huber M-Estimator Cost Function
The goal of blind source separation is to separate multiple signals from linear mixtures without extensive knowledge about the statistical properties of the unknown signals. The design of separation criteria that achieve accurate and robust source estimates within a simple adaptive algorithm is an important part of this task. The purpose of this paper is threefold: (1) We introduce the Huber M-...
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In this paper, we propose to use the Huber M -estimator cost function as a contrast function within the complex FastICA algorithm of Bingham and Hyvarinen for the blind separation of mixtures of independent, non-Gaussian, and proper complex-valued signals. Sufficient and necessary conditions for the local stability of the complex-circular FastICA algorithm for an arbitrary cost are provided. A ...
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ژورنال
عنوان ژورنال: The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
سال: 2007
ISSN: 0922-5773,1573-109X
DOI: 10.1007/s11265-007-0046-9