Browsing by Subject "Nonstationary signals"
Now showing items 1-6 of 6
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A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
( Elsevier Inc. , 2014 , Article)This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ... -
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
( Elsevier Inc , 2013 , Article)Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ... -
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach
(2012 , Conference)This paper presents new time-frequency (T-F) features to improve the classification of non-stationary signals such as EEG signals. Previous methods were based only on signal features that were derived from the instantaneous ... -
Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
(2012 , Conference)A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the signal complexity, quantified as the number of components in the signal. This paper describes a method for the estimation ... -
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
( Elsevier Inc. , 2015 , Article)This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ... -
Time-Frequency Signal Analysis and Processing: A Comprehensive Reference
( Elsevier Inc. , 2015 , Book)Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including ...