Proceedings Article10.1109/ICASSP.1993.319546
Wavelet transform domain LMS algorithm
40
TL;DR: A novel normalized wavelet domain least-mean-square (LMS) algorithm is described.
read more
About: This article is published in International Conference on Acoustics, Speech, and Signal Processing. The article was published on 01 Jan 1993. The article focuses on the topics: Wavelet transform & Wavelet.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Adaptive filtering in subbands using a weighted criterion
M. de Courville,Pierre Duhamel +1 more
TL;DR: An adaptive algorithm compatible with the use of rectangular orthogonal transforms is proposed, thus allowing better tradeoffs between algorithm improvement, arithmetic complexity, and input/output delay, and leading to improvements in the convergence rate compared with both LMS and classical frequency domain algorithms.
Wavelet-based linear system modeling and adaptive filtering
Milos Doroslovacki,H. Howard Fan +1 more
TL;DR: Time-invariant system identification and adaptive filtering is given as a special case of the general time-varying setting, and least-mean-square adaptive filtering algorithms are derived for on-line filtering and system Identification.
92
A multi-resolution filtered-x LMS algorithm based on discrete wavelet transform for active noise control
TL;DR: A new active control algorithm based on discrete wavelet transform (DWT) for both stationary and non-stationary noise control that has greatly reduced complexity and a better convergence performance compared to a time domain filtered-x least mean square (TD-FXLMS) algorithm.
57
The wavelet transform-domain LMS algorithm: a more practical approach
TL;DR: This work shows how to exploit the redundancy which exists in the computation of the wavelet coefficients between successive iterations so as to significantly reduce the computational load of theWTDLMS algorithm.
45
Wavelet transform domain LMS algorithm
TL;DR: A novel normalized wavelet domain least-mean-square (LMS) algorithm is described.
40
References
Orthonormal bases of compactly supported wavelets
TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
Multifrequency channel decompositions of images and wavelet models
TL;DR: The author describes the mathematical properties of such decompositions and introduces the wavelet transform, which relates to the decomposition of an image into a wavelet orthonormal basis.
2.2K
Fast wavelet transforms and numerical algorithms I
TL;DR: The algorithms presented here are based on the recently developed theory of wavelets and are applicable to all Calderon-Zygmund and pseudo-differential operators, and indicate that many previously intractable problems become manageable with the techniques presented here.
1.9K
An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-Matrix
J. A. Meijerink,H.A. van der Vorst +1 more
682