Nonlinear Wavelet Shrinkage with Bayes Rules and Bayes Factors 论文
1998Journal of the American Statistical Association引用 280
Image and Signal Denoising MethodsSpectroscopy and Chemometric AnalysesSeismic Imaging and Inversion Techniques
摘要
Abstract Wavelet shrinkage, the method proposed by the seminal work of Donoho and Johnstone is a disarmingly simple and efficient way of denoising data. Shrinking wavelet coefficients 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.