Method of and apparatus for identifying unknown system using ada

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36472419, G06G 702

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054756324

ABSTRACT:
A method of and an apparatus for identifying an unknown system using an adaptive filter wherein the step size is subsequently supplied to the adaptive filter so that the identification error may be decreased. Value of the step size is calculated by using a gradient of power of error signal according to the LMS or LIM (learning identification method) algorithm, and limited by the previous value of step size. Further, when a sudden change in the error signal is detected, the step size can be re-setted or the limitation to the step size can be released.

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Widrow et al, "Adaptive Noise Canceling: Principles and Application", Proc. IEEE, vol. 63, No. 12, pp. 1692-1716, Dec. 1975.
Mathews et al, "Stochastic Gradient Adaptive Filter with Gradient Adaptive Step Size" Proc. ICASSP '90, pp. 1385-1388, Apr. 1990.
Akihiko Sugiyama et al., "A Fast Convergence Algorithm For Adaptive Fir Filters", Speech Processing 2 Digital Signal Processing, vol. 2, (1989), pp. 892-895.

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