Optimal threshold selection for multiwavelet denoising using multivariate shrinkage was discussed. A new risk estimator for each decomposition level based on the principle of Stein's unbiased risk estimator was presented. It was found that multiwavelet denoising with multivariate shrinkage gives consistently better results than using wavelet shrinkage.
ASJC Scopus subject areas
- Electrical and Electronic Engineering