A new approach to spectral estimation: a tunable high-resolutionspectral estimator |
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Authors: | Byrnes C.L. Georgiou T.T. Lindquist A. |
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Affiliation: | Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO; |
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Abstract: | Traditional maximum entropy spectral estimation determines a power spectrum from covariance estimates. Here, we present a new approach to spectral estimation, which is based on the use of filter banks as a means of obtaining spectral interpolation data. Such data replaces standard covariance estimates. A computational procedure for obtaining suitable pole-zero (ARMA) models from such data is presented. The choice of the zeros (MA-part) of the model is completely arbitrary. By suitable choices of filter bank poles and spectral zeros, the estimator can be tuned to exhibit high resolution in targeted regions of the spectrum |
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