Fetal ECG extraction has an important role in the medical diagnosis during pregnancy. This problem can be modeled from the approach of blind source extraction. The mathematical modeling of fetal ECG extraction using ICA algorithm is described in this paper. It also proposes an efficient BSS method (FCOMBI) for the extraction of fetal ECG. This algorithm combines the strengths of non-Gaussianity...

The present study carries out output-only modal analysis using two blind source separation (BSS) techniques, namely independent component analysis and second-order blind identification. The concept of virtual source is exploited and renders the application of these BSS techniques possible. The proposed modal analysis method is illustrated using numerical and experimental examples. r 2007 Elsevi...

In this paper, the problem of Blind Source Separation (BSS) through mutual information minimization is addressed. For mutual information minimization, multi-variate score functions are first introduced, which can be served to construct a non-parametric “gradient” for mutual information. Then, two general gradient based approaches for minimizing mutual information in a parametric model are prese...

The Blind Source Separation (BSS) problem has become one of the main signal processing research areas, mainly due to its increasing application potential to many real world problems. A number of algorithms based on the Independent Component Analysis (ICA) theory have provided a solution to the BSS problems and have been successfully applied to a wide range of fields, covering diverse subjects s...

Blind source separation is a signal processing method based on independent component analysis, its aim is to separate the source signals from a set of observations (output of sensors) by assuming the source signals independently. This paper reviews the general concept of BSS firstly; especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structure...

the infomax algorithm is a popular method in blind source separation problem. in this article an extension of the infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-gaussian distributions. this ability is the results of using two different nonlinear functions and new coefficients in the learning rule. in this paper we show how we can use the distribution...

We propose utilizing subband-based blind source separation (BSS) for convolutive mixtures of speech. This is motivated by the drawback of frequency-domain BSS, i.e., when a long frame with a fixed long frame-shift is used to cover reverberation, the number of samples in each frequency decreases and the separation performance is degraded. In subband BSS, (1) by using a moderate number of subband...

The economic and environmental losses due to serious leakage in the urban water supply network have increased the effort to control the water leakage. However, current methods for leakage estimation are inaccurate leading to the development of ineffective leakage controls. Therefore, this study proposes a method based on the blind source separation theory (BSS) to calculate the leakage of water...

This paper proposes a blind multiuser detection and channel estimation method for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems based on blind source separation (BSS). Using multiple antennas for transmission and reception the multiuser detection problem can be cast as a BSS problem of linear instantaneous mixtures. The proposed method uses BSS ...