Cet article traite de la théorie limite des statistiques d’ordre extrêmes provenant marches aléatoires. Nous établissons convergence conjointe près du minimum d’une marche aléatoire en termes chaînes Feller. Des descriptions détaillées processus sont données dans le cas simples symétriques et gaussiennes.

In this communication, we consider and study a generalized two parameters entropy of order statistics and derive bounds for it. The generalized residual entropy using order statistics has also been discussed.

One of the fundamental problems in statistical pattern recognition, particularly in face recognition and similar applications, is the intractably high number of dimensions used to represent the input data. Various dimensionality reduction techniques have been studied in recent literature. Many of these techniques, including Principle Component Analysis (PCA), can be divided into two parts: feat...

The application of nonlinear transformations to a linearly modulated communication signal for the purpose of revealing hidden periodicities has proven to be useful for automatic modulation recognition (AMR). The fact that the hidden periodicities, referred to as Higher Order Cyclostationary Statistics (HOCS), are compressible in the Fourier domain motivates the use of compressive sensing (CS) a...