Transform-domain adaptive algorithms have been proposed to reduce the eigenvalue
spread of the matrix governing their convergence, thus improving the convergence rate …

Subband decomposition techniques have been extensively used for data coding and
analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to …

The wavelet transform-domain least-mean square (WTDLMS) algorithm is known to have, in
general, a faster convergence rate than the time-domain LMS algorithm, and can find many …

Experimental tests of Newton law put stringent constraints on potential deviations from
standard theory with ranges from the millimeter to the size of planetary orbits. Windows …

In this paper, the WTDLMS adaptive algorithm is established based on the multiple-
constraint optimization criterion. Furthermore, the WTDLMS with dynamic subband …

Ce mémoire décrit les activités de recherche que j'ai menées depuis ma thèse et plus
particulièrement celles que j'effectue dans le projet Opéra (outils pour les documents …

Onset detection is a typical digital signal processing task in acoustic signal analysis, with
many applications as in the musical field. Many techniques have been proposed so far …

This paper presents a fast wavelet transform-domain LMS (FWTDLMS) algorithm whose
computational complexity is very low as compared to what has been reported so far …

3D video codecs have attracted recently a lot of attention, due to their compression
performance comparable with that of state-of-art hybrid codecs and due to their scalability …

One of the fundamental problems in signal processing is to enhance a signal which has
been corrupted by an additive noise. In this thesis, the problem of alleviating the effects of …