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F. Ding, H. B. Chen, M. Li, Multi-innovation least squares identification methods based on the auxiliary model for MISO systems. Appl. Math. Comput. 187 (2), 658-668 (2007)
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F. Ding, Y. Shi, T. Chen, Amendments to "Performance analysis of estimation algorithms of nonstationary ARMA processes". IEEE Trans. Signal Process. 56 (10-1), 4983-4984 (2008)
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F. Ding, H. Z. Yang, F. Liu, Performance analysis of stochastic gradient algorithms under weak conditions. Sci. China Ser. F Inf. Sci. 51 (9), 1269-1280 (2008)
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F. Ding, P. X. Liu, G. Liu, Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises. Signal Process. 89 (10), 1883-1890 (2009)
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L. L. Han, F. Ding, Multi-innovation stochastic gradient algorithms for multi-input multi-output systems. Digit. Signal Process. 19 (4), 545-554 (2009)
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L. L. Han, F. Ding, Identification for multirate multi-input systems using the multi-innovation identification theory. Comput. Math. Appl. 57 (9), 1438-1449 (2009)
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L. Yu, F. Ding, J. B. Zhang, Convergence of multi-innovation stochastic gradient identification methods. Sci. Technol. Eng. 7 (21), 5474-5478 (2007), 5484 (in Chinese)
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