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This contribution contains a theoretical analysis on asymptotic stability requirements in blind source separation (BSS) algorithms. BSS extracts independent component signals from their mixtures without knowing either the mixing coefficients or the probability distributions of the source signals. It is known that some algorithms work surprisingly well. “blind” means that no a prior information is...
Bootstrap techniques (also called resampling computation techniques) have introduced new advances in modeling and model evaluation (Principles of Neural Model Identification, Selection and Adequacy, Springer, New York, 1999). Using resampling methods to construct a series of new samples which are based on the original data set, allows to estimate the stability of the parameters. Properties such as...
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