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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|Effective implementation of time–frequency matched filter with adapted pre and postprocessing for data-dependent detection of newborn seizures ||Khlif, M; Colditz, P; Boashash, B||2013||Elsevier||Article|
|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||2011||IEEE||Conference Paper|
|Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy ||Sucic, Victor; Saulig, Nicoletta; Boashash, Boualem||2011||Springer||Article|