Nonlinear Wavelet Shrinkage With Bayes Rules and
نویسندگان
چکیده
and Michael Lavine for useful discussions and the editor, associate editor, and the two anonymous referees for insightful comments. 2 Wavelet shrinkage, the method proposed by the seminal work of Donoho and Johnstone is a disarmingly simple and eecient way of denoising data. Shrinking wavelet coeecients was proposed from several optimality criteria. In this article a wavelet shrinkage by coherent Bayesian inference in the wavelet domain is proposed. The methods are tested on standard Donoho-Johnstone test functions.
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