The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Identification of nonminimum phase systems using higher order statistics
Abstract
A method is presented for identification of linear, time-variant, nonminimum phase systems when only output data are available. The input sequence need not be independent, but it must be non-Gaussian, with some special properties described in the test. The authors model a finite-dimensional system as an ARMA (autoregressive moving-average) rational function of known orders, but the special cases of AR, MA, and all-pass models are also considered. To estimate the parameters of their model, the authors utilize both second- and higher-order statistics of the output, which may be contaminated by additive, zero-mean, Gaussian white noise of unknown variance. The parameter estimators obtained are proved, under mild conditions, to be consistent. Simulations verify the performance of the proposed method in the case of relatively low signal-to-noise ratios, and when there is a model-order mismatch.>
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Time Series Analysis: Forecasting and Control.
Anderson, O. D., Box, G. E. P., & Jenkins, G. M. (1978) · The Statistician · doi:10.2307/2988198 · Cited by 5,298
Theory and Practice of Recursive Identification
Lennart Ljung, A., & Söderström, T. (1983) · Lund University Publications (Lund University) · Cited by 3,989
A Course in Probability Theory
(1974) · Elsevier eBooks · doi:10.1016/c2009-0-22097-6 · Cited by 2,668
Ahlfors, L. V. (1979) · Cited by 2,282
Time Series Analysis Forecasting and Control
Bartholomew, D. J. (1971) · Journal of the Operational Research Society · doi:10.1057/jors.1971.52 · Cited by 1,792
Yule, G. U. (1927) · Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1927.0007 · Cited by 1,275
Digital Bispectral Analysis and Its Applications to Nonlinear Wave Interactions
Kim, Y. C., & Powers, E. J. (1979) · IEEE Transactions on Plasma Science · doi:10.1109/tps.1979.4317207 · Cited by 887
Stationary Sequences and Random Fields
Rosenblatt, M. (1985) · Birkhäuser Boston eBooks · doi:10.1007/978-1-4612-5156-9 · Cited by 658
Canonical Correlation Analysis of Time Series and the Use of an Information Criterion
Akaike, H. (1976) · Mathematics in Science and Engineering · doi:10.1016/s0076-5392(08)60869-3 · Cited by 654
Speckle masking in astronomy: triple correlation theory and applications
Lohmann, A. W., Weigelt, G., & Wirnitzer, B. (1983) · Applied Optics · doi:10.1364/ao.22.004028 · Cited by 580
Cited by
Metadata
- Authors
- Giannakis, G. B., & Mendel, J. M.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1989-03
- Volume
- 37
- Issue
- 3
- Pages
- 360-377
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2152552797
- Cited by
- 485
- References
- 19
- FWCI
- 42.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Giannakis, G. B., & Mendel, J. M. (1989). Identification of nonminimum phase systems using higher order statistics. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/29.21704
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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