Effective Parametric Estimation of Non-Gaussian Autoregressive Moving Average Processes Exhibiting Noise with Impulses
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Information Systems,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11265-006-9769-2.pdf
Reference27 articles.
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2. S. Kay, “Modern Spectral Estimation: Theory and Application,” Prentice Hall, Englewood Cliffs, New Jersey, 1988.
3. J. D. Scargle, “Absolute Value Optimization to Estimate Phase Properties of Stochastic Time Series,” IEEE Trans. Inf. Theory, vol. 23, 1977, pp. 140–143.
4. K. S. Lii and M. Rosenblatt, “Deconvolution and Estimation of Transfer Function Phase and Coefficients for Non-Gaussian Linear Processes,” Ann. Stat., vol. 10, 1982, pp. 1195–1208.
5. G. B. Giannakis and J. M. Mendel, “Identification of Non-minimum Phase Systems Using Higher Order Statistics,” IEEE Trans. Acoust. Speech Signal Process., ASSP-37, no. 3, 1989, pp. 360–377.
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