Results 41 to 50 of about 451,315 (310)

Identification of Modal Parameters Using an Improved Sparse Blind Source Separation Method

IEEE Access
During the past decade, blind source separation (BSS) method has become an effective tool to characterize and identify modal parameters of linear systems.
Gang Yu, Aoran Wang
doaj   +1 more source

Underdetermined Joint Blind Source Separation of Multiple Datasets

IEEE Access, 2017
In this paper, we tackle the problem of jointly separating instantaneous linear underdetermined mixtures of latent sources from multiple data sets, where the number of sources exceeds that of observations in each data set.
Liang Zou, Xun Chen, Xiangyang Ji, Z. Jane Wang   +3 more
doaj   +1 more source

Spectrum Sensing Framework based on Blind Source Separation for Cognitive Radio Environments [PDF]

, 2015
El uso eficiente del espectro se ha convertido en un área de investigación activa, debido a la escasez de este recurso y a su subutilización. En un escenario en el que el espectro es un recurso compartido como en la radio cognitiva (CR), los espacios sin
Gil Taborda, Camilo, Gómez García, Jorge Andrés, Quiza Montealegre, Jhon Jair, Sepúlveda Cano, Lina María   +3 more
core   +2 more sources

Underdetermined Blind Audio Source Separation Using Modal Decomposition

EURASIP Journal on Audio, Speech, and Music Processing, 2007
This paper introduces new algorithms for the blind separation of audio sources using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped sinusoidal (modal) components.
Aïssa-El-Bey Abdeldjalil, Abed-Meraim Karim, Grenier Yves   +2 more
doaj   +2 more sources

Blind source separation of tensor-valued time series

, 2017
The blind source separation model for multivariate time series generally assumes that the observed series is a linear transformation of an unobserved series with temporally uncorrelated or independent components.
Nordhausen, Klaus, Virta, Joni
core   +2 more sources

Blind Source Separation Method for Bearing Vibration Signals

IEEE Access, 2018
In underdetermined blind source separation (UBSS) of vibration signals, the estimation of the mixing matrix is often affected by noise and by the type of the used clustering algorithm.
He Jun, Yong Chen, Qing-Hua Zhang, Guoxi Sun, Qin Hu   +4 more
doaj   +1 more source

Blind source separation methods for deconvolution of complex signals in cancer biology

, 2013
Two blind source separation methods (Independent Component Analysis and Non-negative Matrix Factorization), developed initially for signal processing in engineering, found recently a number of applications in analysis of large-scale data in molecular ...
Kairov, Ulykbek, Karpenyuk, Tatiana, Ramanculov, Erlan, Zinovyev, Andrei   +3 more
core   +1 more source

Blind calibration for compressed sensing by convex optimization [PDF]

, 2011
We consider the problem of calibrating a compressed sensing measurement system under the assumption that the decalibration consists in unknown gains on each measure.
Chardon, Gilles, Daudet, Laurent, Gribonval, Rémi   +2 more
core   +5 more sources

Underdetermined blind source separation based on Fuzzy C-Means and Semi-Nonnegative Matrix Factorization [PDF]

, 2012
Conventional blind source separation is based on over-determined with more sensors than sources but the underdetermined is a challenging case and more convenient to actual situation.
Alshabrawy, Ossama S., Awad, W. A., Ghoneim, M. E., Hassanien, Aboul Ella   +3 more
core   +1 more source

Model-Independent Analytic Nonlinear Blind Source Separation

, 2017
Consider a time series of measurements of the state of an evolving system, x(t), where x has two or more components. This paper shows how to perform nonlinear blind source separation; i.e., how to determine if these signals are equal to linear or ...
Levin, David N.
core   +1 more source