Multidimensional unstructured sparse recovery via eigenmatrix

arXiv:2402.17215v1 Announce Type: cross
Abstract: This note considers the multidimensional unstructured sparse recovery problems. Examples include Fourier inversion and sparse deconvolution. The eigenmatrix is a data-driven construction with desired approximate eigenvalues and eigenvectors proposed for the one-dimensional problems. This note extends the eigenmatrix approach to multidimensional problems. Numerical results are provided to demonstrate the performance of the proposed method.

abstract arxiv construction cs.lg cs.na data data-driven eigenvectors examples fourier math.na multidimensional numerical recovery results type unstructured via