25 search results - page 3 / 5 » Independent Component Analysis for Source Localization of EE... |
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
NIPS
2003
13 years 7 months ago
2003
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
ICA
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
IDA
2009
Springer
14 years 10 days ago
2009
Springer
This work presents a novel robust method for a two-channel multiple Time Difference of Arrival (TDOA) estimation. The method is based on a recursive frequency-domain Independent C...
ISCAS
2002
IEEE
13 years 10 months ago
2002
IEEE
A blind source separation algorithm is used to estimate the mixing operator from electromagnetic emission signals through independent component analysis (ICA) technique. The mixin...