Power spectrum estimation from values of noisy autocorrelations

Rebollo Neira, L. and Constantinides, A.G. (1996). Power spectrum estimation from values of noisy autocorrelations. Signal processing, 50 (3), pp. 223-231.


The problem of estimating the power spectrum from noisy autocorrelation values is considered in this paper, and it is proposed that in order to reduce errors, oversampling of the available time domain data should be employed. The oversampling problem is discussed from the frame theory point of view, and it is shown that the frame reconstruction represents an improvement upon the standard correlogram, windowing, and autoregressive modelling approaches.

Publication DOI: https://doi.org/10.1016/0165-1684(96)00025-4
Divisions: Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Additional Information: Copyright © 1996 Published by Elsevier Science B.V.
Uncontrolled Keywords: power spectrum,noisy autocorrelation values,errors,oversampling problem,frame theory,standard correlogram,windowing,autoregressive modelling approaches
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Related URLs: https://www.sci ... 0254?via%3Dihub (Publisher URL)
Published Date: 1996-05
Authors: Rebollo Neira, L. ( 0000-0002-7420-8977)
Constantinides, A.G.



Version: Accepted Version

Access Restriction: Restricted to Repository staff only

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