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POPULAR WAVELET MODELS.
- Source :
-
International Journal of Wavelets, Multiresolution & Information Processing . Jul2007, Vol. 5 Issue 4, p655-666. 12p. 4 Graphs. - Publication Year :
- 2007
-
Abstract
- The modern approach for wavelets imposes a Bayesian prior model on the wavelet coefficients to capture the sparseness of the wavelet expansion. The idea is to build flexible probability models for the marginal posterior densities of the wavelet coefficients. In this note, we derive exact expressions for two popular models for the marginal posterior density. We also illustrate the superior performance of these models over the standard models for wavelet coefficients. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02196913
- Volume :
- 5
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- International Journal of Wavelets, Multiresolution & Information Processing
- Publication Type :
- Academic Journal
- Accession number :
- 25654522
- Full Text :
- https://doi.org/10.1142/S0219691307001951