Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order
Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order
Gridless methods show great superiority in line spectral estimation. These methods need to solve an atomic $l_0$ norm (i.e., the continuous analog of $l_0$ norm) minimization problem to estimate frequencies and model order. Since this problem is NP-hard to compute, relaxations of atomic $l_0$ norm, such as nuclear norm and …