Wavelet representations and coding of self-affine signals
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 677-680 vol. 1
- https://doi.org/10.1109/icassp.1991.150430
Abstract
A novel model for one-dimensional signal analysis, called a weighted multiresolution process (WiMP), is introduced. The model combines the scale and time-frequency localization properties of the wavelet representation with the self-affine characteristics of signals to be modeled. A WiMP can be viewed as a Markov chain of weighted translations between levels of the wavelet decomposition. Both aperiodic and periodic signals are investigated, and the corresponding decomposition/reconstruction algorithms are presented.Keywords
This publication has 2 references indexed in Scilit:
- A theory for multiresolution signal decomposition: the wavelet representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Analysis of an adaptive technique for modeling sparse systemsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989