IEEE Transactions on Signal Processing · 2013 · 73 citations · 20 references
EngineeringElectrical EngineeringDigital ImagingInformation TheoryUncertainty QuantificationDigital Signal ProcessingFourier AnalysisFrequency-domain AnalysisPropagation Of UncertaintySignal ProcessingUncertainty EstimationComputational Lower BoundsFourier TransformLower BoundsUncertainty Principles
This study devotes to uncertainty principles under the linear canonical transform (LCT) of a complex signal. A lower-bound for the uncertainty product of a signal in the two LCT domains is proposed that is sharper than those in the existing literature. We also deduce the conditions that give rise to the equal relation of the new uncertainty principle. The uncertainty principle for the fractional Fourier transform is a particular case of the general result for LCT. Examples, including simulations, are provided to show that the new uncertainty principle is truly sharper than the latest one in the literature, and illustrate when the new and old lower bounds are the same and when different.
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Charles Fefferman · Bulletin of the American Mathematical Society · 1983 · 547 citations · Full text
WAVELETS: MATHEMATICS AND APPLICATIONS
2004 · 395 citations