Noisy ICA model offers a viable solution for blind speech signal separation under real life scenarios, but it also creates new problem which need to be tackled, namely: estimating of the de-mixing matrix with non-invertible model. In this paper, a new algorithm based on short-time ICA is proposed for accurate estimation of the de-mixing matrix in the presence of noise. Without any assumption or...

We propose a two-stage mask estimation approach to robust speaker verification (SV) in noise environments. We consider a practical semi-blind SV scenario: the location of the target speaker is fixed while the locations of all interferers are unknown. In the first stage, we use a dual-microphone and a semi-blind degenerate unmixing estimation technique (DUET) to estimate an initial binary mask. ...

Blind estimation of acoustic room parameters such as the reverberation time T60 and the direct-to-reverberation ratio (DRR) is still a challenging task, especially in case of blind estimation from reverberant speech signals. In this work, a novel approach is proposed for joint estimation of T60 and DRR from wideband speech in noisy conditions. 2D Gabor filters arranged in a filterbank are explo...

This paper presents a blind adaptive detector for asynchronous DS-CDMA in multipath channels. The receiver exploits the underlying subspace structure for recursive estimation of the desired signal vector, and eliminates the need of explicit channel or delay estimation. The detector is constrained to the signal subspace (hence reduced rank), leading to computational efficiency while also benefit...

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...

Multi-frame super-resolution makes up for the deficiency of sensor hardware and significantly improves image resolution by using information inter-frame intra-frame images. Inaccurate blur kernel estimation will enlarge distortion estimated high-resolution image. Therefore, multi-frame blind super with unknown is more challenging. For purpose reducing impact inaccurate motion on super-resolved ...

In this paper, the problem of time-varying channel estimation for ZP-OFDM wireless communication systems is considered. Based on Rayleigh Quotient Iteration method, a new adaptive blind subspace channel estimation algorithm is proposed for ZP-OFDM systems. Because SVD is not required, the new algorithm has low complexity. The performance of new method has been validated through extensive simula...

In this paper iterative blind estimation of the complex amplitudes of the users is considered. A Gaussian mixture model formulation of the problem is introduced and Expectation Maximization (EM) algorithm for estimation of parameters for Gaussian mixture observation model is used. Simulation results compare the performance of the proposed algorithm with the Cramer-Rao bound.

This paper presents a novel means of sensorless drive the winding segmented permanent magnet linear motor (WS-PMLM). In order to solve problem deviation position and speed estimation mover caused by sharp changes inductance, flux linkage, back electromotive force (EMF) between segments WS-PMLM, method for compound back-EMF is proposed eliminate blind spot intersegment estimation. terms estimati...

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...