Results 11 to 20 of about 27,220,972 (292)

Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques [PDF]

, 2014
In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of wavelet packet transform (WPT), empirical mode decomposition (EMD) and ...
Koushik Maharatna, Das, Saptarshi, Saptarshi Das, Maharatna, Koushik, Valentina Bono, Bono, Valentina, Wasifa Jamal, Jamal, Wasifa   +7 more
core   +1 more source

Region-based multimodal image fusion using ICA bases [PDF]

, 2006
In this paper, we present a novel multimodal image fusion algorithm in the independent component analysis (ICA) domain. Region-based fusion of ICA coefficients is implemented, where segmentation is performed in the spatial domain and ICA coefficients ...
Cvejic, N, Canagarajah, CN, Bull, DR, Nedeljko Cvejic, John Lewis, Nishan Canagarajah, David Bull   +6 more
core   +1 more source

Independent Component Analysis (ICA) With Covariates Strengthens Behavioral Links in Electroencephalography (EEG) Connectivity. [PDF]

Cureus
The search for reliable biomarkers of clinical and cognitive deficits remains the holy grail of clinical neuroscience, with improved predictive methods and neural correlates paving the way for more effective treatments. Independent component analysis (ICA) has been widely applied in electroencephalography (EEG) signal processing to isolate neural ...
Cripe CT, Delorme A.
europepmc   +3 more sources

Independent component analysis in spiking neurons [PDF]

, 2010
Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such ...
Cristina Savin, Savin Cristina, Triesch, Jochen, Jochen Triesch, Joshi Prashant, Triesch Jochen, Prashant Joshi, Joshi, Prashant, Savin, Cristina   +8 more
core   +2 more sources

Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools [PDF]

, 2011
Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic ...
van den Bosch, Jasper J F, Wolf Singer, van den Bosch, J.J.F., Kohler, A., Kaiser, J., Kaiser, Jochen, Ven, Vincent van de, Marcus J. Naumer, Bosch, Jasper J. F. van den, van de Ven, Vincent, Lars Muckli, Muckli, L., Kohler, Axel, Singer, Wolf, Axel Kohler, Jochen Kaiser, Naumer, M.J., van den Bosch, J., Muckli, Lars, Wibral, M., Wibral, Michael, Michael Wibral, Jasper J. F. van den Bosch, Naumer, Marcus Johannes, Vincent van de Ven, Naumer, Marcus J, van de Ven, V., Singer, W., Muckli, L, van, de Ven V, Naumer, MJ, Wibral, M, van den Bosch, Jasper JF; id_orcid, Kohler, A   +33 more
core   +2 more sources

State-space independent component analysis for nonlinear dynamic process monitoring [PDF]

, 2010
The cost effective benefits of process monitoring will never be over emphasised. Amongst monitoring techniques, the Independent Component Analysis (ICA) is an efficient tool to reveal hidden factors from process measurements, which follow non-Gaussian
Odiowei, P. P., Cao, Yi, P.P. Odiowei, Y. Cao   +3 more
core   +1 more source

Independent component analysis: An introduction [PDF]

Applied Computing and Informatics, 2021
Independent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box, without understanding its internal details.
Alaa Tharwat
doaj   +1 more source

A novel fixed-point algorithm for constrained independent component analysis

EURASIP Journal on Advances in Signal Processing, 2019
Constrained independent component analysis (ICA) is an effective method for solving the blind source separation with a prior knowledge. However, most constrained ICA algorithms are proposed for the real-valued sources.
Guobing Qian, Lidan Wang, Shiyuan Wang, Shukai Duan   +3 more
doaj   +1 more source

Application of independent component analysis to Fermilab Booster

Physical Review Special Topics. Accelerators and Beams, 2005
Autocorrelation is applied to analyze sets of finite-sampling data such as the turn-by-turn beam position monitor (BPM) data in an accelerator. This method of data analysis, called the independent component analysis (ICA), is shown to be a powerful beam ...
Xiaobiao Huang, S. Y. Lee, Eric Prebys, Ray Tomlin   +3 more
doaj   +1 more source

DCT-Based Preprocessing Approach for ICA in Hyperspectral Data Analysis

Sensors, 2018
The huge quantity of information and the high spectral resolution of hyperspectral imagery present a challenge when performing traditional processing techniques such as classification.
Kamel Boukhechba, Huayi Wu, Razika Bazine   +2 more
doaj   +1 more source