A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals

Boashash, Boualem, Boubchir, Larbi and Azemi, Ghasem (2012) A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals. Eurasip Journal On Advances in Signal Processing, 2012 1: . doi:10.1186/1687-6180-2012-117


Author Boashash, Boualem
Boubchir, Larbi
Azemi, Ghasem
Title A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals
Journal name Eurasip Journal On Advances in Signal Processing   Check publisher's open access policy
ISSN 1687-6180
1687-6172
Publication date 2012-01
Sub-type Article (original research)
DOI 10.1186/1687-6180-2012-117
Open Access Status DOI
Volume 2012
Issue 1
Total pages 21
Place of publication Heidelberg, Germany
Publisher SpringerOpen
Collection year 2014
Language eng
Keyword Time frequency signal analysis
Multichannel signal analysis
Instantaneous Frequency
Time frequency image processing
Image segmentation
Seizure Detection
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Non HERDC
 
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 19 times in Scopus Article | Citations
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