Results 161 to 170 of about 5,520,700 (190)

Blind source separation in the physical layer

2018 52nd Annual Conference on Information Sciences and Systems (CISS), 2018
Multi-antenna radio systems exploit spatial inhomogeneity to share wireless resources. Blind source separation is a powerful capability that can reduce many received signals into a salient estimate of independent transmitters. Performing blind source separation in the analog, physical layer promises significant performance improvements but presents a ...
Alexander N. Tait, Thomas Ferreira de Lima, Philip Y. Ma, Matthew P. Chang, Mitchell A. Nahmias, Bhavin J. Shastri, Prateek Mittal, Paul R. Prucnal   +7 more
openaire   +2 more sources

Blind source separation for convolutive mixtures

Signal Processing, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hoang-Lan Nguyen Thi, Christian Jutten
openaire   +3 more sources

A New Concept for Separability Problems in Blind Source Separation

Neural Computation, 2004
The goal of blind source separation (BSS) lies in recovering the original independent sources of a mixed random vector without knowing the mixing structure. A key ingredient for performing BSS successfully is to know the indeterminacies of the problem—that is, to know how the separating model relates to the original mixing model (separability).
openaire   +3 more sources

Blind source separation in retinal videos

SPIE Proceedings, 2003
An optical imaging device of retina function (OID-RF) has been developed to measure changes in blood oxygen saturation due to neural activity resulting from visual stimulation of the photoreceptors in the human retina. The video data that are collected represent a mixture of the functional signal in response to the retinal activation and other signals
Eduardo S. Barriga, Paul W. Truitt, Marios S. Pattichis, Dan T'so, Young H. Kwon, Randy H. Kardon, Peter Soliz   +6 more
openaire   +2 more sources

Blind source separation: A review and analysis

2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013
Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are available for further separation process. In several situations it is desirable to recover all individual sources from the mixed signal, or at least to segregate a particular source.
Madhab Pal, Rajib Roy, Joyanta Basu, Milton Samirakshma Bepari   +3 more
openaire   +1 more source

Blind electromagnetic source separation and localization

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
A blind source separation algorithm is used to estimate the mixing operator from electromagnetic emission signals through independent component analysis (ICA) technique. The mixing operator contains important information about the sources' features and about the electromagnetic field propagation phenomena, thus, by properly interpreting the results ...
Simone G. O. Fiori, Pietro Burrascano
openaire   +1 more source

Temporal models in blind source separation

1998
The aim of this paper is to discuss various optimization principles based on statistical independence focusing in particular to some aspects of time. There are various ways to obtain separation of signals including minimal mutual information, maximum entropy, and maximum likelihood.
openaire   +2 more sources

A Survey of Artificial Intelligence Approaches in Blind Source Separation

Neurocomputing, 2023
Abir Hussain, Khawla Alnajjar, Soliman Mahmoud   +2 more
exaly  

Output-Only Modal Analysis Using Blind Source Separation Techniques

Mechanical Systems and Signal Processing, 2007
Gaetan Kerschen, J -C Golinval
exaly  

Blind Source Separation Based Vibration Mode Identification

Mechanical Systems and Signal Processing, 2007
David Chelidze
exaly