Results 21 to 30 of about 5,521,232 (198)
, 2010 This is the author's accepted pre-print of the article, first published as M. D. Plumbley, A. Cichocki and R. Bro. Non-negative mixtures. In P. Comon and C. Jutten (Ed), Handbook of Blind Source Separation: Independent Component Analysis and Applications.
M. D. Plumbley +9 more
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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. +9 more
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Journal of Physics: Conference Series, 2023 Abstract The Electroencephalogram (EEG) signal is widely contaminated by a physiological artifact, such as muscle activity, heart rhythm, and eye movement. The researcher has proposed a number of methods to clean the EEG signal. A group of these methods is called Blind Source Separation (BSS).
H. Massar +2 more
openaire +1 more source
BLIND SOURCE SEPARATION (BSS) APPLIED TO SOUND IN VARIOUS CONDITIONS
Science and Technology Development Journal, 2011 Our ears often simultaneously receive various sound sources (speech, music, noise . . .), but we can still listen to the intended sound. A system of speech recognition must be able to achieve the same intelligent level. The problem is that we receive many mixed (combined) signals from many different source signals, and would like to recover them ...
Phuong Huu Nguyen +2 more
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On the performance of a blind source separation based I/Q-corrector [PDF]
, 2002 I and Q Channel phase and gain mismatches are of great concern in communications receiver design. In this paper we carry out a detailed performance analysis of the Blind-Source Seperation (BSS) based imbalance compensation structure.
Morling, R.C.S. +5 more
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Energy predictability to blind source separation [PDF]
, 2006 A blind source separation (BSS) method based on the energy (square) predictability of original sources is proposed. The method exploits the nonstationatity of sources in the sense that the variance of each source signal can be assumed to change smoothly ...
Zhang, C. +4 more
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Blind Implicit Source Separation – A New Concept in BSS Theory
, 2012 None
Fernando J. Mato-Méndez +1 more
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Applied Sciences, 2023 This paper investigates system identification algorithms for modal identification of frame structures, such as a suspension bridge and an overhead transmission line-crossing frame, using ambient vibration measurements. The modal identification procedures
Fanhao Meng +4 more
doaj +1 more source
Blind Separation of Nonstationary Sources Based on Spatial Time-Frequency Distributions
EURASIP Journal on Advances in Signal Processing, 2006 Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on second-order statistics, when dealing with signals that are localized in the time-frequency ...
Zhang Yimin, Amin Moeness G
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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 +5 more
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