This paper exploits both the interand intra-scale interdependencies that exist in wavelet coe3cients to improve image restoration from noise-corrupted data. Using an over-complete wavelet expansion, we group the wavelet coe3cients with the same spatial orientation at several scales. We then apply the linear minimum mean squared-error estimation to smooth noise. This scheme exploits the inter-sc...

Two major approaches for Blind Source Separation (BSS) are respectively based on the maximum likelihood (ML) principle and mutual information (MI) minimization. They have been mainly studied for simple linear mixtures. We here show that they additionally involve indirect functional dependencies for general nonlinear mixtures. Moreover, the notations commonly employed by the BSS community in cal...

A new method of analysis, developed within the framework of nonlinear dynamics, is applied to patient recorded time series of the occurrence of epileptic seizures. These data exhibit broad band spectra and generally have no obvious structure. The goal is to detect hidden internal dependencies in the data without making any restrictive assumptions, such as linearity, about the structure of the u...

Thermophysical and mechanical properties of active membranes for photoacoustic generators forced acoustic oscillations are studied. Dependencies output characteristics versus found out different heat power densities within the structures Keywords: Photoacoustic generator, oscillations, linear full width at half maximum, membrane.