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Full-Text Articles in Physical Sciences and Mathematics
Decorrelation: Sufficient For Convolutive Blind Source Separation?, Jiangtao Xi, T. Mei, Joe F. Chicharo, F. Yin
Decorrelation: Sufficient For Convolutive Blind Source Separation?, Jiangtao Xi, T. Mei, Joe F. Chicharo, F. Yin
Faculty of Informatics - Papers (Archive)
This paper considers blind separation of signal sources in a convolutive mixing environment. It tries to show that decorrelation is sufficient for separation of convolutively mixed sources. Two algorithms are also proposed and tested by computer simulations.
Integration Of Dft And Cosine-Modulated Filter Banks With Blind Separation Of Convolutively Mixed Non-Stationary Sources, I. Russell, Jiangtao Xi, Alfred Mertins, Joe F. Chicharo
Integration Of Dft And Cosine-Modulated Filter Banks With Blind Separation Of Convolutively Mixed Non-Stationary Sources, I. Russell, Jiangtao Xi, Alfred Mertins, Joe F. Chicharo
Faculty of Informatics - Papers (Archive)
In this paper, oversampled M channel FIR filter banks using both DFT modulation and cosine modulation designs are used in conjunction with a time domain blind source separation (BSS) algorithm I. Russell et al., (2003). This BSS algorithm has been shown to blindly separate the fullband versions of non-stationary convolutively mixed sources in the time domain. However further savings on convergence and computational complexity can be made by using subband decomposition on the mixed signals before implementation of the time domain BSS algorithm in each subband. An extended lapped transform (ELT) prototype is modulated using a cosine-modulated (CM) FIR filter …
Blind Source Separation Of Nonstationary Convolutively Mixed Signals In The Subband Domain, I. Russell, Jiangtao Xi, Alfred Mertins, Joe F. Chicharo
Blind Source Separation Of Nonstationary Convolutively Mixed Signals In The Subband Domain, I. Russell, Jiangtao Xi, Alfred Mertins, Joe F. Chicharo
Faculty of Informatics - Papers (Archive)
The paper proposes a new technique for blind source separation (BSS) in the subband domain using an extended lapped transform (ELT) decomposition for nonstationary, convolutively mixed signals. As identified by S. Araki et al. (see Proc. 4th Int. Symp. on Independent Component Analysis and Blind Signal Separation - ICA2003, p.499-504, 2003), the motivation for subband-based BSS is the drawback of frequency domain BSS when dealing with separating mixed speech signals over a few seconds resulting in few samples in individual frequency bins leading to poor separation performance. In the proposed approach, mixed signals are decomposed into subband components by an …
Sinbad Automation Of Scientific Process: From Hidden Factor Analysis To Theory Synthesis, Olcay Kursun
Sinbad Automation Of Scientific Process: From Hidden Factor Analysis To Theory Synthesis, Olcay Kursun
Electronic Theses and Dissertations
Modern science is turning to progressively more complex and data-rich subjects, which challenges the existing methods of data analysis and interpretation. Consequently, there is a pressing need for development of ever more powerful methods of extracting order from complex data and for automation of all steps of the scientific process. Virtual Scientist is a set of computational procedures that automate the method of inductive inference to derive a theory from observational data dominated by nonlinear regularities. The procedures utilize SINBAD – a novel computational method of nonlinear factor analysis that is based on the principle of maximization of mutual information …