We provide a complete characterization of the rate-distortion region for the multistage successive refinement of the Wyner-Ziv source coding problem with degraded side informations at the decoder. Necessary and sufficient conditions for a source to be successively refinable along a distortion vector are subsequently derived. A source-channel separation theorem is provided when the descriptions ...

The introduction of a hydroxy group to the cholesterol skeleton introduces not only the possibility for positional isomers but also diastereoisomers, where two or more isomers have different configurations at one or more of the stereocentres but are not mirror images. The differentiation of diastereoisomers is important as differing isomers can have differing biochemical properties and are form...

The Blind Source Separation is a problem whose solution is vital in numerous applications in Communications , let’s quote for example a multiconference system or a mobile communications environment where interferences and echoes have to be cancelled. In the usual scenario only the independence condition between the source signals is assumed and the final objective in every methods is to force t...

We propose a stable algorithm for blind source separation (BSS) combining multistage ICA (MSICA) and linear prediction. The MSICA in which frequency-domain ICA (FDICA) for a rough separation is followed by time-domain ICA (TDICA) to remove residual crosstalk. For temporally correlated signals, we must use TDICA with a nonholonomic constraint to avoid the decorrelation effect from the holonomic ...

We newly propose a stable algorithm for blind source separation (BSS) combining multistage ICA (MSICA) and linear prediction. The MSICA is the method previously proposed by the authors, in which frequency-domain ICA (FDICA) for a rough separation is followed by time-domain ICA (TDICA) to remove residual crosstalk. For temporally correlated signals, we must use TDICA with a nonholonomic constrai...

This paper proposes a novel efficient multistage algorithm to extract source speech signals from noisy convolutive mixture. The proposed approach comprises two stages named Blind Source Separation (BSS) and de-noising. A hybrid prior model separates the reverberant mixture in BSS stage. Moreover, we low- high-energy components by generalized multivariate Gaussian super-Gaussian models, respecti...

Common mass transfer models for multistage distillation show significant deviations between calculated and experimental height equivalent to a theoretical plate (HETP) values viscous feed mixtures. This is due limited transferability of the available data which were mainly obtained from experiments with inviscid Separation efficiency measurements at elevated viscosities can be conducted polymer...