Smooth sigmoid wavelet shrinkage for non-parametric estimation
Overview & Synopsis
This paper presents a new sigmoid-based wave shrink function. The shrinkage obtained via this function is particularly suitable to reduce noise without impacting significantly the statistical properties of the signal to be recovered. The proposed WaveShrink function depends on a parameter that makes it possible to control the attenuation degree imposed to the data, and thus, allows for a flexible shrinkage.
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hal.science)
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Document Information
| Document Title | Smooth sigmoid wavelet shrinkage for non-parametric estimation |
|---|---|
| Author / Organization | Abdourrahmane M. Atto, Dominique Pastor, Grégoire Mercier |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2008 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-165621 |
| Original Source Link | Visit Source Page on hal.science » |