Publication | Closed Access
The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals
425
Citations
4
References
1990
Year
Spectral TheoryEngineeringSpectrum EstimationFunctional AnalysisBiomedical Signal AnalysisSpeech RecognitionCone-shaped KernelTime-frequency AnalysisTimefrequency AnalysisStatisticsSpeech Signal AnalysisNonstationary SignalsHealth SciencesMultidimensional Signal ProcessingGeneralized Time-frequency RepresentationsFourier AnalysisFunctional Data AnalysisSignal ProcessingCone-shaped KernelsTime-frequency RepresentationsSpeech AcousticsReproducing Kernel MethodSpeech ProcessingWaveform AnalysisKernel MethodFrequency Domain Analysis
Generalized time-frequency representations (GTFRs) which use cone-shaped kernels for nonstationary signal analysis are presented. The cone-shaped kernels are formulated for the GTFRs to produce good resolution simultaneously in time and frequency. Specifically, for a GTFR with a cone-shaped kernel, finite time support is maintained in the time dimension along with an enhanced spectrum in the frequency dimension, and the cross-terms are smoothed out. Experimental results on simulated data and real speech show the advantages of the GTFRs with the cone-shaped kernels through comparisons to the spectrogram and the pseudo-Wigner distribution.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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