IEEE Transactions on Acoustics Speech and Signal Processing · 1989 · 173 citations · 4 references
EngineeringElectrical EngineeringBiomedical Signal ProcessingInformation TheoryTime Series AnalysisDigital Signal ProcessingFeature ExtractionSignal Detection TheorySignal ProcessingTime-frequency AnalysisGabor FeaturesSignalsTime-of-arrival AnalysisTransient DetectionTransient Event DetectionTransient Signal ProcessingTransient Source DetectionWhite Noise
Gabor representation is used for the detection of transient signals with unknown arrival times. A one-sided exponential window function is used which seems to be most appropriate for transient modelling. Explicit expressions for the Gabor coefficients are given for this window function. When the given signal is random, so are the coefficients. The second-order moments of the Gabor coefficients are computed for a white noise signal. These are then used to introduce a detection statistic based on the Gabor coefficients. The proposed detector is capable of separating transients having different arrival times, even in this case where their waveforms partially overlap.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Gabor representation and Wigner distribution of signals
A. J. E. M. Janssen · 2005 · 22 citations · Full text