High Resolution Spectral Estimation for Noisy Signals

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41 Scopus citations

Abstract

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
Volume27
Issue number3
DOIs
StatePublished - Jun 1979

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