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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Figueiredo, M.A.T. Nowak, R.D. |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Inst. Superior Tecnico, Lisbon, Portugal (Figueiredo, M.A.T.) |
| Abstract | The sparseness and decorrelation properties of the discrete wavelet transform have been exploited to develop powerful signal denoising methods. Most existing schemes involve arbitrary thresholding nonlinearities and ad hoc threshold levels, or computationally expensive signal-adaptive procedures. Furthermore, because the DWT is not a translation-invariant (TI) transform, results of processing depend on the relative alignment between data and wavelets in a complicated manner. In the context of denoising, this non-stationarity can produce undesirable ("pseudo-Gibbs" or "blocking") artifacts. To overcome these deficiencies, we propose a new wavelet-based signal denoising technique derived using the theory of non-informative Bayesian priors. The resulting estimator is TI and employs a very simple fixed non-linear shrinkage/thresholding rule. Remarkably, our new approach is very computationally efficient and performs better than standard methods that are more computationally demanding. |
| Starting Page | 1368 |
| Ending Page | 1373 |
| File Size | 599698 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780351487 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.1998.751550 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-11-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bayesian methods Estimation Discrete wavelet transforms Noise reduction Decorrelation Signal processing Power engineering computing Telecommunication computing Power engineering and energy Signal denoising |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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