Reconstructing signals with finite rate of innovation from noisy samples
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Publication:1038748
DOI10.1007/s10440-009-9474-9zbMath1175.94043OpenAlexW1997014356MaRDI QIDQ1038748
Ning Bi, Qiyu Sun, M. Zuhair Nashed
Publication date: 20 November 2009
Published in: Acta Applicandae Mathematicae (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10440-009-9474-9
samplingmean squared errorWiener filterregularized least squaressignals with finite rate of innovation
Related Items (10)
Average sampling in \(L^2\) ⋮ Local reconstruction for sampling in shift-invariant spaces ⋮ Spatially distributed sampling and reconstruction ⋮ Localized nonlinear functional equations and two sampling problems in signal processing ⋮ Rate of innovation for (non-)periodic signals and optimal lower stability bound for filtering ⋮ Average sampling and reconstruction in a reproducing kernel subspace of homogeneous type space ⋮ Sampling and reconstruction of signals in a reproducing kernel subspace of \(L^p(\mathbb R^d)\) ⋮ Non-uniform random sampling and reconstruction in signal spaces with finite rate of innovation ⋮ Convolution sampling and reconstruction of signals in a reproducing kernel subspace ⋮ Average sampling and reconstruction of reproducing kernel signals in mixed Lebesgue spaces
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