DocumentCode
1419622
Title
On time-dependent wavelet denoising
Author
Vidakovic, Brani ; Lozoya, C.B.
Author_Institution
Inst. of Stat. & Decision Theory, Duke Univ., Durham, NC, USA
Volume
46
Issue
9
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
2549
Lastpage
2554
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;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.709544
Filename
709544
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