Rebollo Neira, L. and Constantinides, A.G. (1996). Power spectrum estimation from values of noisy autocorrelations. Signal processing, 50 (3), pp. 223-231.
Abstract
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 |
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Divisions: | College of Engineering & Physical 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 |
Publication ISSN: | 1872-7557 |
Last Modified: | 06 Aug 2024 07:02 |
Date Deposited: | 06 Mar 2019 12:07 |
Full Text Link: | |
Related URLs: |
https://www.sci ... 0254?via%3Dihub
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 1996-05 |
Authors: |
Rebollo Neira, L.
(![]() Constantinides, A.G. |