Title :
On time-dependent wavelet denoising
Author :
Vidakovic, Brani ; Lozoya, C.B.
Author_Institution :
Inst. of Stat. & Decision Theory, Duke Univ., Durham, NC, USA
fDate :
9/1/1998 12:00:00 AM
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
Keywords :
Bayes methods; image processing; signal processing; time-domain analysis; wavelet transforms; Bayesian hypothesis tests; noisy signal; one-dimensional signals; thresholding procedure; time adaptation paradigm; time domain; time-dependent wavelet denoising; two-dimensional signals; wavelet coefficients shrinkage; Circuits; Digital filters; Discrete wavelet transforms; Mathematical analysis; Noise reduction; Signal processing; Testing; Wavelet coefficients; Wavelet domain; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
