P. Duvaut

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We introduce a method to restore Bernoulli-Gaussian processes immerged in a non-gaussian noise. It uses wavelet decomposition to "gaussianize" the noise. The convergence, after wavelet projection, of some non-gaussian noise to a gaussian noise quantifies the quality of the "gaussianization" effect of the wavelet. This property is(More)
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