Non-parametric linear time-invariant system identification by discrete wavelet transforms-Reference-Cited by-同舟云学术

Non-parametric linear time-invariant system identification by discrete wavelet transforms

Published:2006-05 Issue:3 Volume:16 Page:303-319
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Luk R.W.-P.,Damper R.I.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference34 articles.

1. Orthonormal bases of compactly supported wavelets;Daubechies;Commun. Pure Appl. Math.,1988

2. A theory for multiresolution signal decomposition: The wavelet representation;Mallat;IEEE Trans. Pattern Anal. Machine Intell.,1989

3. Wavelet Basics;Chan,1995

4. Introduction to Wavelets and Wavelet Transforms: A Primer;Burrus,1997

5. H. Guo, C.S. Burrus, Wavelet and image compression using the Burrows Wheeler transform and the wavelet transform, in: Proceedings of the IEEE International Conference on Image Processing, ICIP-97, vol. I, Santa Barbara, CA, October 1997, pp. 65–68

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