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Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
(
Elsevier B.V.
, 2016 , Article)
Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ...
Time-frequency methods in radar, sonar, and acoustics
(
Elsevier Inc.
, 2016 , Book chapter)
The fields of radar and sonar are traditionally key application areas and testing grounds for advances in signal processing, including time-frequency (t,f) methodologies; their significance is demonstrated in seven ...
Time-frequency diagnosis, condition monitoring, and fault detection
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter aims to further illustrate the (t,f) approach by selecting a few key generic applications of diagnosis and monitoring. The topic is represented by seven sections.
One key application is electrical power ...
Time-frequency synthesis and filtering
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter presents methods and techniques to design time-varying linear systems such as filters with precise time-frequency (t,f) specifications; this capability can then allow one to model and predict accurately the ...