High Resolution Spectral Estimation for Noisy Signals

Research output: Contribution to journalLetterpeer-review

43 Scopus citations


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 languageEnglish (US)
Pages (from-to)286-287
Number of pages2
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Issue number3
StatePublished - Jun 1979


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