Search
Now showing items 1-3 of 3
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
(
IEEE
, 2011 , Conference Paper)
This paper presents an introduction to time-frequency (T-F) methods in signal processing, and a novel approach for EEG abnormalities detection and classification based on a combination of signal related features and image ...
Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification
(
Institution of Engineering and Technology
, 2010 , Article)
One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ...
A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity
(
Elsevier Ltd
, 2011 , Article)
Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ...