1 citations · 1 across the 4 of their papers we have counts for
5 papers
Sparse free deconvolution under unknown noise level via eigenmatrix
Lexing Ying
This note considers the spectral estimation problems of sparse spectral measures under unknown noise levels. The main technical tool is the eigenmatrix method for solving unstructu…
Blind free deconvolution over one-parameter sparse families via eigenmatrix
Lexing Ying
This note considers the blind free deconvolution problems of sparse spectral measures from one-parameter families. These problems pose significant challenges since they involve non…
Multidimensional unstructured sparse recovery via eigenmatrix
Lexing Ying
This note considers the multidimensional unstructured sparse recovery problems. Examples include Fourier inversion and sparse deconvolution. The eigenmatrix is a data-driven constr…
Eigenmatrix for unstructured sparse recovery
Lexing Ying
This note considers the unstructured sparse recovery problems in a general form. Examples include rational approximation, spectral function estimation, Fourier inversion, Laplace i…
Analytical low-rank compression via proxy point selection
Xin Ye, Jianlin Xia, Lexing Ying
It has been known in potential theory that, for some kernels matrices corresponding to well-separated point sets, fast analytical low-rank approximation can be achieved via the use…