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Estimating the parameters of exponentially damped sinusoids and pole-zero modeling in noise
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A modification of the Kumaresan-Tufts method for estimating rational impulse responses
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Bai, Z.D.1
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0019027180
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Noise compensation for autoregressive spectral estimates
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Bai, Z.D.1
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Linear prediction: A tutorial review
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Spectral analysis and subtraction of noise in radar signals
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Ogura, H.1
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Comparison of some instrumental variable methods-Consistency and accuracy aspects
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A technique for extracting the poles and residues of a system directly from its transient response
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Covariance sequence approximation for parametric spectrum modeling
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Beex, A.A.1
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Information tradeoffs in using the sample autocorrelation function in ARMA parameter estimation
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Bruzzone, S.P.1
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Spectral estimation: An overdetermined rational model equation approach
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J. Cadzow, “Spectral estimation: An overdetermined rational model equation approach,” Proc. IEEE, vol. 70, pp. 907–939, 1982.
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Cadzow, J.1
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A parameter estimation approach to estimation of frequencies of sinusoids
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Y.T. Chan, J.M.M. Lavoie, and J.B. Plant, “A parameter estimation approach to estimation of frequencies of sinusoids,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-29, pp. 214219, 1981.
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Chan, Y.T.1
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0020194937
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Spectral estimation via the high-order Yule-Walker equations
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Y.T. Chan and R. Langford, “Spectral estimation via the high-order Yule-Walker equations,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-30, pp. 689–698, 1982.
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Chan, Y.T.1
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Estimation of the autoregressive parameter from observations of a noise-corrupted autoregressive time series
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Paris, France
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D. Gingras, “Estimation of the autoregressive parameter from observations of a noise-corrupted autoregressive time series,” in Proc. ICAASP, Paris, France, 1982.
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“The effects of noise on the autoregressive spectral esti- On Bi-Orthogonality of Hermitian and Skew Hermitian Szego ö/Levinson Polynomials SALVATORE D. MORGERA Abstract-A system of polynomials, bi-orthogonal with respect to a given weight function which is not necessarily even, is constructed from a corresponding system of Szegoö or Levinson polynomials. Two-term coupled recurrences are presented for the bi-orthogonal polynomial system, and it is shown that these recurrences reduce to a pair of three-term uncoupled recurrences in the case that the unit circle weight function is even. Several observations relative to recent linear prediction algorithms employing Hermitian and skew-Hermitian Levinson polynomials are discussed. The author is with the Department of Electrical Engineering, McGill University, McConnell Engineering Building-Room 514, 3480 University Street, Montreal H3A 2A7, P.Q., Canada.
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S.M. Kay, “The effects of noise on the autoregressive spectral esti- On Bi-Orthogonality of Hermitian and Skew Hermitian Szego ö/Levinson Polynomials SALVATORE D. MORGERA Abstract-A system of polynomials, bi-orthogonal with respect to a given weight function which is not necessarily even, is constructed from a corresponding system of Szegoö or Levinson polynomials. Two-term coupled recurrences are presented for the bi-orthogonal polynomial system, and it is shown that these recurrences reduce to a pair of three-term uncoupled recurrences in the case that the unit circle weight function is even. Several observations relative to recent linear prediction algorithms employing Hermitian and skew-Hermitian Levinson polynomials are discussed. The author is with the Department of Electrical Engineering, McGill University, McConnell Engineering Building-Room 514, 3480 University Street, Montreal H3A 2A7, P.Q., Canada.
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Kay, S.M.1
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