The independent component analysis (ICA) of a random vector consists of searching for a
linear transformation that minimizes the statistical dependence between its components. In …

The strengths and limitations of correlation-based signal processing methods are discussed.
The definitions, properties, and computation of higher-order statistics and spectra, with …

The performance of ground-based surveillance radars strongly depends on the distribution
and spectral characteristics of ground clutter. To design signal processing algorithms that …

This paper identifies and studies two major issues in the blind source separation problem:
separability and separation principles. We show that separability is an intrinsic property of …

A class of iterative methods for solving the blind deconvolution problem, ie for recovering the
input of an unknown possibly nonminimum-phase linear system by observation of its output …

Table des matieres de ce livre maintenant en telechargement libre:(1) Introduction aux
atatistiques d'ordre superieur,(2) Multicorrelations et multispectres,(3) Signaux et …

The present bibliography represents a comprehensive list of references on cyclostationarity
and its applications. An attempt has been made to make this bibliography complete by listing …

The problem of the detection and classification of deterministic objects and random textures
in a noisy scene is discussed. An energy detector is developed in the cumulant domain by …

This paper is devoted to the study of higher-order statistics for complex random variables.
We introduce a general framework allowing the direct manipulation of complex quantities …

We consider the problem of detecting an unknown, random, stationary, non-Gaussian signal
in Gaussian noise of unknown correlation structure. The same framework applies if one …