Nonlinear Wavelet Shrinkage with Bayes Rules and Bayes Factors
提出一种在小波域中通过连贯贝叶斯推断进行小波收缩的去噪方法，并在标准测试函数上验证其效果。
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.