Autoregressive spectral estimation of television sequences

Summary form only given. Autoregressive (AR) spectral estimation models the signal whose spectrum is to be evaluated as the output of an all-pole linear filter excited with white noise. The advantages of this approach versus classical spectral estimation techniques are well known. Known algorithms introduced for 2-D AR spectral estimation have been extended to the case of spatio-temporal sequences in order to develop a technique suitable to obtain AR spectral estimates of television sequences. The problems encountered in the evaluation of AR spectral estimates of PAL signal sequences and an experimental tuning procedure have been investigated