On time-dependent wavelet denoising
Academic Article
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
abstract
The authors address the shrinkage of wavelet coefficients and induced denoising in the time domain by taking into consideration the "time" behavior of a noisy signal. They illustrate the time adaptation paradigm in a thresholding procedure utilizing Bayesian hypothesis tests. Both one-dimensional (1-D) and two-dimensional (2-D) signals are considered in examples to motivate and implement the method.