Results 61 to 70 of about 5,520,700 (190)

Stationary Points of a Kurtosis Maximization Criterion for Noisy Blind Source Extraction

IEEE Access, 2017
Blind source extraction (BSE) is often posed as the maximization of a statistical criterion under a unitary constraint. This paper addresses the convergence problem of a kurtosis-based criterion in the presence of noise.
Shanshan Lu, Wei Wang, Guoyu Wang
doaj   +1 more source

Robust Sparse Blind Source Separation [PDF]

IEEE Signal Processing Letters, 2015
Submitted to IEEE Signal Processing ...
Cecile Chenot, Jérôme Bobin, Jérémy Rapin   +2 more
openaire   +3 more sources

NONLINEAR BLIND SOURCE SEPARATION OF MECHANICAL FAULT BASED ON QUANTUM GENETIC ALGORITHM

Jixie qiangdu, 2015
Based on the deficiency in the traditional nonlinear blind separation method of mechanical fault sources,i. e. the separation matrix parameter and nonlinear mixing parameter in the nonlinear blind source separation are usually optimized separately,which ...
PI HaiYu, LI ZhiNong, XIAO YaoXian
doaj  

Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition

Computation
Blind Source Separation (BSS) is a significant field of study in signal processing, with many applications in various fields such as audio processing, speech recognition, biomedical signal analysis, image processing and communication systems. Traditional
Gyurhan Nedzhibov
doaj   +1 more source

A Comprehensive Survey on Blind Source Separation for Wireless Adaptive Processing: Principles, Perspectives, Challenges and New Research Directions

IEEE Access, 2018
With the rapid proliferation of wireless services, the frequency spectrum has become increasingly crowded, and the interferences and composite signals will be ubiquitous in the wireless receiver.
Zhongqiang Luo, Chengjie Li, Lidong Zhu
doaj   +1 more source

Blind Source Separation: The Sparsity Revolution [PDF]

, 2008
Over the last few years, the development of multi-channel sensors motivated interest in methods for the coherent processing of multivariate data. Some specific issues have already been addressed as testified by the wide literature on the so-called blind source separation (BSS) problem.
Bobin, J., Starck, Jean-Luc, Moudden, Y., Fadili, Jalal M.   +3 more
openaire   +2 more sources

Penalty Function Approach for Constrained Convolutive Blind Source Separation

, 2004
A new approach for convolutive blind source separation (BSS) using penalty functions is proposed in this paper. Motivated by nonlinear programming techniques for the constrained optimization problem, it converts the convolutive BSS into a joint ...
Wang, W, Saeid Sanei, Chambers, JA, Sanei, S, Wenwu Wang, Jonathon A. Chambers   +5 more
core   +1 more source

Hybridizing sparse component analysis with genetic algorithms for microarray analysis [PDF]

, 2008
Nonnegative matrix factorization (NMF) has proven to be a useful tool for the analysis of nonnegative multivariate data. However, it is known not to lead to unique results when applied to blind source separation (BSS) problems.
Stadlthanner, K., Puntonet, C. G., Stadlthanner, Kurt, Lang, Elmar, Lang, E. W., Puntonet, Carlos G., Górriz, J. M., Tomé, A. M., Theis, Fabian J., Theis, F. J.   +9 more
core   +1 more source

Interest of blind source separation methods for surfactant mixture deformulation

, 2015
Interest of blind source separation methods for surfactant mixture deformulation.
Gaubert, Alexandra, Lanteri, Pierre, Bordes, Claire, Clément, Yohann, Sanglar, Corinne, Jouan-Rimbaud Bouveresse, Delphine, Casabianca, Hervé, Rutledge, Douglas   +7 more
core   +5 more sources