AbstractWe study a generalization to the continuous wavelet transform of the concept of dyadic multiscale analysis, useful in the analysis and application of orthonormal wavelet decompositions. The resulting notion of scaling and its limitation is discussed and a possible modification is introduced. With this modified notion of scaling the “information loss” which occurs, when analyzing a signal with orthonormal wavelets (i.e., using a discrete subset of the shift dilation plane only) instead of performing the same analysis with continuously varying scale factors and translations, is illustrated by analyzing an example signal
Conference PaperThe discrete wavelet transform (DWT) gives a compact multiscale representation of si...
It is now well admitted in the computer vision literature that a multi-resolution decomposition prov...
\begin{abstract} A Generalized Multiresolution Analysis (GMRA) associated with a wavelet is a sequen...
Conference paperWe describe a generalized scale-redundant wavelet transform which approximates a de...
In this thesis, we develop an approximation to the continuous wavelet transform (CWT) which is uniqu...
International audienceA continuous version of multiresolution analysis is described, starting from u...
In this paper we present an overview of wavelet based multiresolution analyses. First, we briefly di...
Adaptive transforms are required for better signal analysis and processing. Key issue in finding the...
Communicated by the editors. ABSTRACT. It is well known that the integer translates of the scaling f...
Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advo...
Signal analysts have traditionally relied on the Discrete Fourier Transform and various data windowi...
Multiresolution representations are very effective for analyzing the information in images. In this ...
Multiresolution representations are very effective for analyzing the information in images. In this ...
This research paper was completed and submitted at Nipissing University, and is made freely accessib...
A body of work using the continuous wavelet transform has been growing. We provide a self- containe...
Conference PaperThe discrete wavelet transform (DWT) gives a compact multiscale representation of si...
It is now well admitted in the computer vision literature that a multi-resolution decomposition prov...
\begin{abstract} A Generalized Multiresolution Analysis (GMRA) associated with a wavelet is a sequen...
Conference paperWe describe a generalized scale-redundant wavelet transform which approximates a de...
In this thesis, we develop an approximation to the continuous wavelet transform (CWT) which is uniqu...
International audienceA continuous version of multiresolution analysis is described, starting from u...
In this paper we present an overview of wavelet based multiresolution analyses. First, we briefly di...
Adaptive transforms are required for better signal analysis and processing. Key issue in finding the...
Communicated by the editors. ABSTRACT. It is well known that the integer translates of the scaling f...
Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advo...
Signal analysts have traditionally relied on the Discrete Fourier Transform and various data windowi...
Multiresolution representations are very effective for analyzing the information in images. In this ...
Multiresolution representations are very effective for analyzing the information in images. In this ...
This research paper was completed and submitted at Nipissing University, and is made freely accessib...
A body of work using the continuous wavelet transform has been growing. We provide a self- containe...
Conference PaperThe discrete wavelet transform (DWT) gives a compact multiscale representation of si...
It is now well admitted in the computer vision literature that a multi-resolution decomposition prov...
\begin{abstract} A Generalized Multiresolution Analysis (GMRA) associated with a wavelet is a sequen...