Some recent works address the problem of blind source separation with a matrix pencil. In this paper we show that the covariance matrices of the pencil can be computed at the output of a simple linear filter instead of using time-delayed covariance matrices. It is also shown, using block matrix manipulation, that the method might applied when the number of source signals is not equal to the num...

Abstract. We consider the Blind Source Separation problem of linear mixtures with singular matrices and show that it can be solved if the sources are sufficiently sparse. More generally, we consider the problem of identifying the source matrix S ∈ IR if a linear mixture X = AS is known only, where A ∈ IR, m 6 n and the rank of A is less than m. A sufficient condition for solving this problem is...

A sparse decomposition approach of observed data matrix is presented in this paper and the approach is then used in blind source separation with less sensors than sources. First, sparse representation (factorization) of a data matrix is discussed. For a given basis matrix, there exist infinite coefficient matrices (solutions) generally such that the data matrix can be represented by the product...

The mitochondrial compartment of budding yeast (Saccharomyces cerevisiae) is a highly dynamic net-like structure of tubules that constantly undergo fusion and fission. The outer membrane protein Fis1p plays a crucial role in mitochondrial fission. Here we report on the temporal and spatial dynamics of this organelle in wild-type cells and in fis1Delta mutants. Mitochondria of fis1Delta mutants ...

This paper presents a family of adaptive algorithms for the blind separation of independent signals. Source separation consists in recovering a set of independent signals from some linear mixtures of them, the coeecients of the mixtures being unknown. In the noiseless case, thèhardness' of the blind source separation problem does not depend on the mixing matrix (see the companion paper 1]). It ...

In this work, three different graphene-based materials, namely graphite oxide (GrO), thermally reduced graphite oxide (T-RGrO) and ascorbic acid multi-phase reduced graphene oxide (AMP-RGO), were synthesized and used to produce mixed matrix membranes (MMM) based on Matrimid®5218 for as separation. From the samples produced, a complete set of characterization was performed including XRD, FTIR, T...

The Nonnegative Matrix Factorization (NMF) is widely used in audio source separation tasks. However, the separation quality of NMF varies a lot depending on the mixture. In this paper, we analyze the use of NMF in source separation tasks and show how separation results can be significantly improved by using the Nonnegative Matrix Factor 2D Deconvolution (NMF2D). NMF2D was originally proposed as...