Results 231 to 240 of about 3,652,766 (290)

Signal and background separation

Physical Review E, 1999
In many areas of research the measured spectra consist of a collection of "peaks"--the sought-for signals--which sit on top of an unknown background. The subtraction of the background in a spectrum has been the subject of many investigations and different techniques, varying from filtering to fitting polynomial functions, have been developed.
Linden, W., Dose, V., Padayachee, J., Prozesky, V.   +3 more
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Phase separation in immune signalling

Nature Reviews Immunology, 2021
Immune signalling pathways convert pathogenic stimuli into cytosolic events that lead to the resolution of infection. Upon ligand engagement, immune receptors together with their downstream adaptors and effectors undergo substantial conformational changes and spatial reorganization. During this process, nanometre-to-micrometre-sized signalling clusters
Qian Xiao, Ceara K. McAtee, Xiaolei Su
openaire   +2 more sources

Multi-channel signal separation

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
The separation of independent sources from mixed observed data is a fundamental and challenging problem. In many practical situations, observations may be modelled as linear mixtures of a number of source signals, i.e. a linear multi-input multi-output system.
Dominic C. B. Chan, Peter J. W. Rayner, Simon J. Godsill   +2 more
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Separation of real-world signals

Signal Processing, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henrik Sahlin, Holger Broman
openaire   +2 more sources

Separation of a mixture of chaotic signals

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
A new technique is specifically devised to separate chaotic signals. In this approach, the authors reconstruct the trajectory of the mixture in an embedding space. The correlation characteristics of the trajectory in each dimension of the embedding space are then determined and used to reduce the separation problem into an eigen-problem that can be ...
Titus K. Y. Lo, Henry Leung, John Litva
openaire   +1 more source

On blind separation of nonstationary signals

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005., 2006
In this paper we consider a time-frequency based approach to blind separation of nonstationary signals. In particular, we propose a time-frequency ‘point selection’ algorithm based on multiple hypothesis testing, which allows automatic selection of auto- or cross-source locations on the time-frequency plane.
Luke A. Cirillo, Abdelhak M. Zoubir
openaire   +1 more source

A separation signal for heterogeneous networks

2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013
Organizing a large-scale, heterogeneous network of agents into clusters based on the agents' class is a useful preprocessing step for cooperative tasks, where agents with the same capabilities need to be in the same location to cooperatively solve a task.
Jean-Pierre de la Croix, Magnus Egerstedt   +1 more
openaire   +2 more sources

Criteria for multichannel signal separation

IEEE Transactions on Signal Processing, 1994
We consider the problem in which we want to separate two (or more) signals that are coupled to each other through an unknown multiple-input-multiple-output linear system (channel). We prove that the signals can be decoupled, or separated, using only the condition that they are statistically independent, and find even weaker sufficient conditions ...
Daniel Yellin, Ehud Weinstein
openaire   +2 more sources

Blind Separation of Cyclostationary Signals

2009
In this paper, we propose a new method for the blind source separation with assuming that the source signals are cyclostationarity. The proposed method exploits the characteristics of cyclostationary signals in the Fraction-of-Time probability framework in order to simultaneously separate all sources without restricting the distribution or the number ...
Nhat Anh Cheviet, Mohamed El Badaoui, Adel Belouchrani, François Guillet   +3 more
openaire   +1 more source

Organelle Separation and Cell Signaling

2017
Recent findings indicate that some signaling hubs coalesce at the surfaces of organelles through the accumulation of ubiquitylated components required for the signal transduction. For instance, ubiquitylated components of the NF-κB pathway accumulated at the endoplasmic reticulum while ubiquitylated components of the IRF3 pathway are found at the Golgi
Leandro Silva, Da Costa, Damien, Arnoult
openaire   +2 more sources