Some Results in Linear Interpolation Theory

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 31, Issue 3, 1983, Pages 746-749

  Kay, Steven ^a  

^a UNIVERSITY OF RHODE ISLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL FILTERING AND PREDICTION;

SIGNAL PROCESSING;

EID: 0020766958     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASSP.1983.1164088     Document Type: Article

References (11)

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3. D. Heisey and L. Griffiths, “Linear estimation filters in spectral analysis,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, Philadelphia, PA, 1976, pp. 493-496.
4. A. Nuttall, “Spectral analysis of a univariate process with bad data points via maximum entropy and linear predictive techniques,” Naval Underwater Syst. Cent., New London, CT, Tech. Rep. 5303, Mar. 26, 1976.
5. F. Soong and L. Jackson, “Observations on linear estimation,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1978, pp. 203-207.
6. A. Cantoni and P. Butler, “Properties of the eigenvectors of per-symmetric matrices with applications to communication theory,” IEEE Trans. Commun., vol. COM-24, pp. 804-808, Aug. 1976.
7. M. Siddiqui, “On the inversion of the sample covariance matrix in the stationary AR process,” Ann. Math. Statist., no. 28, pp. 585-588, 1958.
8. T. Kailath, B. Levy, L. Ljung, and M. Morf, “Fast time-invariant implementation of Gaussian signal detectors,” IEEE Trans. Inform. Theory, vol. IT-24, July 1978.
9. G. Box and G. Jenkins, Time Series Analysis Forecasting and Control. San Francisco, CA: Holden-Day, 1970, pp. 50, 51.
10. Y. A. Rozanov, Stationary Random Processes. San Francisco, CA: Holden-Day, 1967, pp. 97-104.
11. T. Anderson and R. Mentz, “Existence of maximum likelihood estimators in autoregressive and moving average models,” Dep. Statistics, Stanford Univ., Stanford, CA, Tech. Rep. 45, Oct. 1980.