Blind Source Separation (BSS) approaches for multi-channel EEG processing are popular, and in particular Independent Component Analysis (ICA) algorithms have proven their ability for artefacts removal and source extraction for this very specific class of signals. However, the blind aspect of these techniques implies well-known drawbacks. As these methods are based on estimated statistics from t...

Much interest is continuing to grow in advanced interferometric SAR methods for full 3D imaging, in particular of volumetric forest scatterers. Multibaseline SAR tomographic elevation beam forming, i.e. spatial spectral estimation, is a promising technique in this framework. In this paper, the important effect of temporal decorrelation during the repeat pass multibaseline acquisition is analyze...

Security and undetectability are main goals of steganographic systems. This paper proposes a novel certificateless public key steganography that allows two parties that have no prior knowledge of each other to communicate covertly over public channel. Firstly, secure and high efficient rate of key distribution are provided. Secondly, proper stego and destego are introduced based on Distributed ...

Objective MRI measures of network integrity may be useful disease markers in cerebral small vessel disease (SVD). We compared the sensitivity and reproducibility of MRI derived structural and functional network measures in healthy controls and SVD subjects. Methods Diffusion tractography and resting state fMRI were used to create connectivity matrices from 26 subjects with symptomatic MRI con...

As a by-product of Interferometric Synthetic Aperture Radar (SAR, InSAR) technique, interferometric coherence is measure the decorrelation noise for InSAR observation, where lower value, more serious noise. In densely vegetated area, value could be too low to obtain any valuable signals, leading degradation performance and possible waste expensive SAR data. Normalized Difference Vegetation Inde...

This paper discusses an SVD-based signal enhancement procedure, applied to noise reduction in multi-microphone speech signals. The SVD-based signal enhancement procedure amounts to a specific optimal filtering problem when the so-called ‘desired response’ signal cannot be observed. The optimal filter can then be written as a function of the generalized singular vectors and singular values of a ...