16 search results - page 1 / 4 » Signal Classification through Multifractal Analysis and Comp... |
IEEEICCI
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
IMCSIT
2010
13 years 3 months ago
2010
In the present text, we deal with the problem of classification of speech emotion. Problems of speech processing are addressed through the use of artificial neural networks (ANN). ...
NCA
2006
IEEE
13 years 5 months ago
2006
IEEE
Scientists involved in the area of proteomics are currently seeking integrated, customised and validated research solutions to better expedite their work in proteomics analyses and...