Work

Uncertainty Quantification for Sparse Estimation of Spectral Lines

Year: 2022

Type: article

Source: IEEE Transactions on Signal Processing

DOI: 10.1109/tsp.2023.3235662

Authors: Yi Han, Thomas C. M. Lee

Institution: University of California, Davis

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation of Sri Lanka

Awards: G1337502490, G1795176, G2733641781, G4292371498

OpenAlex ID: W4320150047

FWCI: 1.205

Cites: 43

Cited by: 21

Related to: 10