
doi: 10.1137/0523074
The problem of recovering a measure \(\mu\) supported on a lattice of span \(\Delta\) from measurements \(\hat\mu(\omega)\) at frequencies \(|\omega|\leq\Omega\) is considered. The author shows that even if \(\Omega\) is much smaller than the Nyquist frequency \(\pi/\Delta\) and the measurements are noisy, stable recovery is possible if the measure \(\mu\) satisfies certain sparsity constraints. If the support of \(\mu\) is known a priori to have Rayleigh index at most \(R\) (in any interval of length \(4\pi/\Omega R\) there are at most \(R\) elements) then stable recovery is possible with a stability coefficient that grows at most like \(\Delta^{-2R-1}\) as \(\Delta\to 0\).
Signal theory (characterization, reconstruction, filtering, etc.), sparsity constraints, spectroscopy, Trigonometric moment problems in one variable harmonic analysis, inverse problems, Rayleigh index, Special classes of entire functions of one complex variable and growth estimates, Nyquist frequency, measurements, superresolution, recovering
Signal theory (characterization, reconstruction, filtering, etc.), sparsity constraints, spectroscopy, Trigonometric moment problems in one variable harmonic analysis, inverse problems, Rayleigh index, Special classes of entire functions of one complex variable and growth estimates, Nyquist frequency, measurements, superresolution, recovering
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