Adaptive IIR algorithms based on high-order statistics
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[1] D. Brillinger. An Introduction to Polyspectra , 1965 .
[2] D. Brillinger. The identification of polynomial systems by means of higher order spectra , 1970 .
[3] D. Brillinger. THE COMPARISON OF LEAST SQUARES AND THIRD‐ORDER PERIODOGRAM PROCEDURES IN THE ESTIMATION OF BIFREQUENCY , 1980 .
[4] M. Rosenblatt,et al. Deconvolution and Estimation of Transfer Function Phase and Coefficients for NonGaussian Linear Processes. , 1982 .
[5] B. Friedlander. The overdetermined recursive instrumental variable method , 1983 .
[6] Jitendra Tugnait. Order reduction of SISO nonminimum phase stochastic systems , 1985, 1985 24th IEEE Conference on Decision and Control.
[7] Chrysostomos L. Nikias,et al. Bispectrum estimation: A parametric approach , 1985, IEEE Trans. Acoust. Speech Signal Process..
[8] Jitendra K. Tugnait,et al. Identification of non-minimum phase linear stochastic systems , 1986, Autom..
[9] G. Giannakis. Cumulants: A powerful tool in signal processing , 1987, Proceedings of the IEEE.
[10] B. Friedlander,et al. Performance analysis of parameter estimation algorithms based on high‐order moments , 1989 .
[11] B. Friedlander,et al. The square-root overdetermined recursive instrumental variable algorithm , 1989 .
[12] Jerry M. Mendel,et al. Identification of nonminimum phase systems using higher order statistics , 1989, IEEE Trans. Acoust. Speech Signal Process..