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Generalized Sampling Expansion for Bandlimited Signals Associated With the Fractional Fourier Transform
64
Citations
20
References
2010
Year
Sampling (Signal Processing)Parameter EstimationEngineeringI XmlnsGeneralized Sampling ExpansionFractional Fourier TransformParameter IdentificationTimefrequency AnalysisFourier ExpansionApproximation TheoryStatisticsFourier AnalysisSampling TheoryInverse ProblemsMonte Carlo SamplingSignal ProcessingBandlimited Signals AssociatedMathematical FoundationsStatistical InferenceFrequency Domain Analysis
The aim of the generalized sampling expansion (GSE) is the reconstruction of an unknown continuously defined function <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</i> ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t</i> ), from the samples of the responses of <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">M</i> linear time invariant (LTI) systems, each sampled by the 1/ <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">M</i> th Nyquist rate. In this letter, we investigate the GSE in the fractional Fourier transform (FRFT) domain. Firstly, the GSE for fractional bandlimited signals with FRFT is proposed based on new linear fractional systems, which is the generalization of classical generalized Papoulis sampling expansion. Then, by designing fractional Fourier filters, we obtain reconstruction method for sampling from the signal and its derivative based on the derived GSE and the property of FRFT. Last, the potential application of the GSE is presented to show the advantage of the theory.
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