1976
DOI: 10.21236/ada024942
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Spectral Analysis of a Univariate Process with Bad Data Points, via Maximum Entropy and Linear Predictive Techniques

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Cited by 97 publications
(22 citation statements)
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“…Although this property is couuuon to the forward, backward and forward-backward arrangements, the last one presents the best performance as a frequency estimator [7], · [8].…”
Section: The Fbctls Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Although this property is couuuon to the forward, backward and forward-backward arrangements, the last one presents the best performance as a frequency estimator [7], · [8].…”
Section: The Fbctls Methodsmentioning
confidence: 99%
“…The Forward -Backward Linear Prediction (FBLP) method introduced by Nuttal [7] and Ulrich and Clayton [8] is particularly effective. The performance of the FBLP method were significantly improved by Kumaresan [9] through the Modified ForwardBackward Linear Prediction (MFBLP) method.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we propose to use minimum error power method [24] to estimate the prediction coefficients by computing the minimum error power. For a given K value, the error power value ρ K in the cross or dot set can be computed as…”
Section: Estimate Of Prediction Coefficientsmentioning
confidence: 99%
“…& Clayton R. W., 1976). and Nuttal (Nuttal A. H., 1976), is a least-squares procedure for forward and backward predictions, in which the Levinson constraint imposed by Burg is removed. Noting that (27) and (36) can be summarized by …”
Section: Forward and Backward Linear Prediction Algorithmmentioning
confidence: 99%