Sampling theorem for wavelet subspaces: error estimate and irregular sampling
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Publication:2734282
DOI10.1109/78.815492zbMath1011.94008OpenAlexW2164759854MaRDI QIDQ2734282
Publication date: 14 August 2001
Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/78.815492
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Generalized average sampling and reconstruction for wavelet subspaces ⋮ Error estimation for non-uniform sampling in shift invariant space ⋮ Reconstruction of functions in spline subspaces from local averages ⋮ Vector sampling expansions in shift invariant subspaces ⋮ Error estimates from noise samples for iterative algorithm in shift-invariant signal spaces ⋮ Average sampling in shift invariant subspaces with symmetric averaging functions ⋮ Regular and irregular sampling theorem for multiwavelet subspaces ⋮ A local weighted average sampling and reconstruction theorem over shift invariant subspaces ⋮ Riesz bases in \(L^{2}(0,1)\) related to sampling in shift-invariant spaces ⋮ Dual frames in \(L^2(0,1)\) connected with generalized sampling in shift-invariant spaces ⋮ The cardinal orthogonal scaling function and sampling theorem in the wavelet subspaces ⋮ The structure of finitely generated shift-invariant spaces in mixed Lebesgue spaces \(L^{p,q}\left( {\mathbb{R}}^{d+1}\right)\) ⋮ Average sampling in spline subspaces
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