Accurate and efficient implementation of the time–frequency matched filter
The discrete time-frequency matched filter should replicate the continuoustime-frequency matched filter, but the methods differ. To avoid aliasing, thediscrete method transforms the real-valued signal to the complex-valued analytic signal. The theory for the time-frequency matched filter does not consider the discrete case using the analytic signal. The authors find that theperformance of the matched filter degrades when using the analytic, rather than real-valued, signal. This performance degradation is dependent on thesignal-to-noise ratio and the signal type. In addition, the authors present a simple algorithm to efficiently compute the time-frequency matched filter. Thealgorithm with the real-valued signal, comparative to using the analytic signal, requires one-quarter of the computational load. Hence the real-valued signal -and not the analytic signal - enables an accurate and efficient implementationof the time-frequency matched filter.
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Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities Boashash, Boualem; Boubchir, Larbi; Azemi, Ghasem ( 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 ...
Sayeed, A.M.; Papandreou-Suppappola, A.; Suppappola, S.B.; Xia, X.-G.; Hlawatsch, F.; Matz, G.; Boashash, B.; Azemi, G.; Khan, N.A. ( Elsevier Inc. , 2016 , Book chapter)Several studies involving real-life applications have shown that methods for the detection, estimation, and classification of nonstationary signals can be enhanced by utilizing the time-frequency ((t,f)) characteristics ...
Hlawatsch, F.; Matz, G.; Boashash, B.; Ouelha, S.; Stanković, S.; Hassanpour, H. ( 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 ...