Revisiting Atomic Norm Minimization: A Sequential Approach for Atom
Identification and Refinement
Revisiting Atomic Norm Minimization: A Sequential Approach for Atom
Identification and Refinement
Atomic norm minimization (ANM) is a key approach for line spectral estimation (LSE). Most related algorithms formulate ANM as a semidefinite programming (SDP), which incurs high computational cost. In this letter, we revisit the ANM problem and present a novel limit-based formulation, which dissects the essential components of the semidefinite …