Optimizing Weighting Factors for Multiple Window Spectrum Estimates
Spectral estimation can be done using different techniques, where averaging the periodogram using multiple windows is one of the techniques. When using multiple windows, the spectral estimate is commonly obtained by having the windows for the subspectra equally weighted. The goal of this thesis is to find weights for the windows that give a better spectral estimate than the equally weighted spectr