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GENERALIZED IRREGULAR SAMPLING IN SHIFT-INVARIANT SPACES
16
Citations
13
References
2007
Year
Spectral TheorySampling (Signal Processing)EngineeringInterpolation SpaceGeneralized FunctionSampling TheorySignal ReconstructionStable RecoveringProbability TheoryStochastic GeometryFunctional AnalysisIrregular SamplesRegular Samples
This article concerns the problem of stable recovering of any function in a shift-invariant space from irregular samples of some filtered versions of the function itself. These samples arise as a perturbation of regular samples. The starting point is the generalized regular sampling theory which allows any function f in a shift-invariant space to be recovered from the samples at {rn} n∈ℤ of s filtered versions [Formula: see text] of f, where the number of channels s is greater or equal than the sampling period r. These regular samples can be expressed as the frame coefficients of a function related to f in L 2 (0,1) with respect to certain frame for L 2 (0,1). The irregular samples are also obtained as a perturbation of the aforesaid frame. As a natural consequence, the irregular sampling results arise from the theory of perturbation of frames. The paper concludes by putting the theory to work in some spline examples where Kadec-type results are obtained.
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