An approach to recursive estimation of time-varying spectra

The paper presents an analysis of several recursive stochastic gradient-type methods applied to the tracking of rapidly time varying spectra of sinusoidal (or narrow-band) signals in additive white noise. A special emphasis is laid on a modified version of the recursive generalized least-squares method. Experimental results illustrate both asymptotic properties and tracking capabilities of the analysed methods.