18 search results - page 1 / 4 » Extraction of Unique Independent Components for Nonlinear Mi... |
JCP
2007
13 years 4 months ago
2007
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
NIPS
2004
13 years 5 months ago
2004
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, we propose two approaches for combining geometric information with ICA algorithm to solve permutation problem under the scenario where a rough information about the...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
We consider Independent Component Analysis (ICA) for the case of binary sources, where addition has the meaning of the boolean “Exclusive Or” (XOR) operation. Thus, each mixtur...
ISNN
2007
Springer
13 years 10 months ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...