Least Squares and Maximum Likelihood Estimation of Mixed Spectra
In this paper, we propose a novel 1-D spectralestimator for signals with mixed spectra. The proposed methodis partly based on the recently introduced smooth spectralestimator LIMES, in which the smoothness is accounted for byassuming linearity within predefined segments of the spectrum.The proposed method utilizes this formulation but also allowssegments to change size to better estimate the spect
