Low dimensional atomic norm representations in line spectral estimation
Low dimensional atomic norm representations in line spectral estimation
The line spectral estimation problem consists in recovering the frequencies of a complex valued time signal that is assumed to be sparse in the spectral domain from its discrete observations. Unlike the gridding required by the classical compressed sensing framework, line spectral estimation reconstructs signals whose spectral supports lie continuously …