In many applications, there is a need to blindly separate independent sources from their linear instantaneous mixtures while the mixing matrix or source properties are slowly or abruptly changing in time. The easiest way to separate the data is to consider off-line estimation of the model parameters repeatedly in time shifting window. Another popular method is the stochastic natural gradient al...

This study addresses the problem of joint blind timing and carrier synchronisation in a (distributed-M ) × N antenna system where the objective is to estimate theM carrier offsets, theM timing offsets and to recover the transmitted symbols for each of theM users given only the measured signal at the N antennas of the receiver. The authors propose a modular receiver structure that exploits blind...

Blind Source Separation consists of estimating n sources from the measurements provided by m sensors. In this paper we deal with the underdetermined case, m < n, where the solution can be implemented in two stages: first estimate the mixing matrix from the measurements and then estimate the best solution to the underdetermined linear problem. Instead of being restricted to the conventional two-...

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...

We present an adaptive algorithm for blind audio source separation (BASS) of moving sources via Independent Component Analysis (ICA) in time-domain. The method is shown to achieve good separation quality even with a short demixing filter length (L = 30). Our experiments show that the proposed adaptive algorithm can outperform the off-line version of the method (in terms of the average output SI...

Blind source separation (BSS) aims to recover a set of statistically independent source signals from a set of linear mixtures of the same sources. In the noiseless real-mixture two-source two-sensor scenario, once the observations are whitened (decorrelated and normalized), only a Givens rotation matrix remains to be identified in order to achieve the source separation. In this paper, an adapti...

The problem of multiuser detection in wireless communications systems adopts, in flat-fading channels, a blind source separation (BSS) formulation of instantaneous linear mixtures. This contribution addresses the closed-form solutions to BSS in the complex-mixture scenario. The algebraic devices which span a unifying framework for the complex BSS closed-form estimators are developed. With the a...

In this paper, we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures. A recently introduced generic BSS framework based on a matrix formulation allows simultaneous exploitation of nonwhiteness and nonstationarity of the source signals using second-order statistics. We demonstrate here that this general scheme leads to...

Separation anxiety disorder (SAD) is characterized by developmentally inappropriate and excessive anxiety concerning separation from home or those to whom the individual is attached. Literature suggests that child attachment and anxiety symptoms are related. The aim of this study is to discover which symptoms of separation anxiety were associated with avoidant and/or ambivalent attachment. A to...

We relate Context Logic reasoning about a high-level tree update language with Separation Logic reasoning about a low-level implementation.