In this paper, a fast and robust fixed-point algorithm using the nonlinear autocorrelation is proposed. Further, we study its convergence property and the ...

In the paper, using a statistical property-nonlinear autocorrelation and maximizing the nonlinear autocorrelation of source signals, we propose a fast fixed- ...

In this paper we will use the nonlinear autocorrelation function as an object function to separate the source signals from the mixing signals. Maximization of ...

Fast fixed-point algorithm for blind separation of nonlinear autocorrelation and non-Gaussian sources. Abstract: Blind source separation (BSS) problem is ...

Bibliographic details on Fast nonlinear autocorrelation algorithm for source separation.

In this context, we investigated the separation of complex sources with nonlinear autocorrelation in our previous work [23]. The gradient algorithm has been ...

A Novel algorithm for Blind Source Separation Based on Fast Nonlinear Autocorrelation Function and Discrete Wavelet Transform · Abstract · No full-text available.

We have proposed an algorithm for blind source separation based on non-Gaussianity and nonlinear autocorrelation of source signals and have analyzed its ...

The method has a potential capability of extracting complex sources with nonlinear autocorrelation. We also analyze the convergence conditions of the algorithm ...

Jun 1, 2011 · In this paper we will use the nonlinear autocorrelation function as an object function to separate the source signals from the mixing signals.