New breakthroughs in image coding possibly lie in signal decomposition through
nonseparable basis functions that can efficiently capture edge characteristics, present in …

In this paper, we propose an analytical low‐level representation of images, obtained by a
decomposition process, namely the matching pursuit (MP) algorithm, as a new way of …

Advanced signal processing (SP) methods often lead to greedy algorithms that are time
consuming, so useless in real time applications. However, nowadays, efficient …

Matching pursuit decomposes a signal into a linear expansion of functions selected from a
redundant dictionary, isolating the signal structures that are coherent with respect to a given …

Using a low-level representation of images, like matching pursuit, we introduce a new way of
describing objects through a general description using a translation, rotation, and isotropic …

This paper presents a low bit-rate image coding method based on a Matching Pursuit
expansion, over a dictionary built on anisotropic refinement and rotation of contour-like …

There are several approximative algorithms for learning a dictionary from given signals,
some also in combination with additional properties, but no one of them combines the …

Signals that carry information regarding the existing defects or possible failures of a system
are sometimes difficult to analyze because of various corrupting noises. Such signals are …

The main purpose of this paper is to study energy differentiations of electroencephalogram
(EEG) and event related potentials (ERP) of normal subjects and subjects with dyslexia. As …

Résumé In this paper, we propose an analytical low-level representation of images,
obtained by a decomposition process, here the matching pursuit (MP) algorithm, as a new …