Fast and accurate methods of independent component analysis: A survey

Petr Tichavský; Zbyněk Koldovský

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Displaying similar documents to “Fast and accurate methods of independent component analysis: A survey”

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Automatic speech signal segmentation based on the innovation adaptive filter

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A new supervised classification algorithm of a heavily distorted pattern (shape) obtained from noisy observations of nonstationary signals is proposed in the paper. Based on the Gabor transform of 1-D non-stationary signals, 2-D shapes of signals are formulated and the classification formula is developed using the pattern matching idea, which is the simplest case of a pattern recognition task. In the pattern matching problem, where a set of known patterns creates predefined classes,...