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ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
11 years 6 months ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty
NCI
2004
125views Neural Networks» more  NCI 2004»
11 years 29 days ago
A new approach to blind source separation with global optimal property
This paper presents a new independency metric for blind source separation (BSS) problem. It is mathematically proved that the metric value of any linear combination of source sign...
Yiu-ming Cheung, Hailin Liu
JCNS
2010
119views more  JCNS 2010»
10 years 10 months ago
Disentanglement of local field potential sources by independent component analysis
The spontaneous activity of working neurons yields synaptic currents that mix up in the volume conductor. This activity is picked up by intracerebral recording electrodes as local ...
Valeri A. Makarov, Ioulia Makarova, Oscar Herreras
ESANN
2006
11 years 1 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
IJCSS
2006
116views more  IJCSS 2006»
10 years 11 months ago
Extracting Motor Unit Firing Information by Independent Component Analysis of Surface Electromyogram: A Preliminary Study Using
Decomposition of electromyogram (EMG) provides a valuable means of obtaining motor unit recruitment and firing rate information. The feasibility of decomposing surface EMG signals...
Ping Zhou, M. M. Lowery, W. Zev Rymer
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