A spectral model containing poles and zeros is derived for the high resolution spectral estimation of data containing an autoregressive (all-pole) signal, interference, and white noise. A computationally efficient method for computing the spectrum is introduced. Examples of some spectra calculated by this method are presented and compared with the autoregressive spectral estimator.
|Original language||English (US)|
|Number of pages||2|
|Journal||IEEE Transactions on Acoustics, Speech, and Signal Processing|
|State||Published - Jun 1979|