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- W2169486896 abstract "We present a novel algorithm for independent component analysis (ICA) based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). This algorithm can work well in on-line mode of ICA processing, in a dynamic mixing environment. It converges very fast even for non-stationary, and/or non-identically independent distributed (non-I.I.D.) signals, so that the algorithm is very suitable for most real-time applications. In this paper, theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness." @default.
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- W2169486896 date "2004-12-23" @default.
- W2169486896 modified "2023-09-26" @default.
- W2169486896 title "An algorithm for real-time independent component analysis in dynamic environments" @default.
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- W2169486896 doi "https://doi.org/10.1109/mwscas.2004.1354302" @default.
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