Abstract
This paper presents a new system identification approach using vector space base functions, and proposes two network structures based on Gamma sequence and Laguerre sequence. After analyzing and comparing these structures in detail, some simulation results to demonstrate the conclusions are given.
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References
B. Widrow, S. D. Stearns, Adaptive Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1985.
M. A. Masnadi-Shirazi, N. Ahmed, Optimum Laguerre networks for a class of discrete-time systems, IEEE Trans. on Signal Processing, 39(1991), 2104–2107.
J. C. Principe, B. de Vries, P. G. de Oliveira, The Gamma filter—A new class of adaptive IIR filters with restricted feedback, IEEE Trans. on Signal Processing, 41(1993), 649–656.
T. W. Lee, Statistical Theory of Communication, New York: Wiley, 1960.
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Supported by the National Natural Science Funds and Natural Science Funds of Jiangsu Province
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Lu, Z., Yang, L. & He, Z. A system identification method using vector space base function. J. of Electron.(China) 16, 146–151 (1999). https://doi.org/10.1007/s11767-999-1035-x
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DOI: https://doi.org/10.1007/s11767-999-1035-x