Wavelet thresholding for some classes of non–Gaussian noise
Author:
Affiliation:
1. Université Joseph Fourier, France and Université de Marne–la–Vallée, Cité, Descartes
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9574.00211
Reference44 articles.
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4. 4R. AVERKAMP, and C. HOUDRE(1999 ), Wavelet thresholding for non (necessarily) Gaussian noise: idealism . Internal report, Georgia Institute of Technology, Atlanta.
5. 5R. W. BUCCIGROSSI, and E. P. SIMONCELLI(1997 ), Progressive wavelet image coding based on a conditional probability model in:Proceedings of the IEEE Conference on Acoustics, Speech, Signal Processing, pages IV.2957-IV.2960, Munich, Germany.
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