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2009 Fifth International Conference on Natural Computation
A Fixed-Point Algorithm for Nonnegative Independent Component Analysis
Tianjian, China
August 14-August 16
ISBN: 978-0-7695-3736-8
This paper proposes a fixed-point algorithm for nonnegative independent component analysis, based on the mutual independency of source signals and ‘nonpositive’ parts of source signals. The algorithm is computationally simple,provides fast convergence and does not need choose any learning step sizes. Simulations by independent source signals which are nonnegative and well grounded verify the efficient implementation of the proposed method.
Index Terms:
Blind source separation (BSS); independent component analysis (ICA); nonnegative independent component analysis; fixed-point algorithm
Citation:
Zhenwei Shi, Xueyan Tan, Zhanxing Zhu, Zhiguo Jiang, "A Fixed-Point Algorithm for Nonnegative Independent Component Analysis," icnc, vol. 2, pp.482-485, 2009 Fifth International Conference on Natural Computation, 2009
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