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An adaptive filtering algorithm with parameter acceleration

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3 Author(s)
M. Gerken ; Sao Paulo Univ., Brazil ; F. M. Pait ; P. E. Jojoa

We introduce a novel fast discrete-time algorithm for adaptive filtering applications. It is based on a tuner used in adaptive control that sets the second derivative of the parameter estimates. For colored input signals the proposed algorithm presents a more favorable compromise between convergence speed and steady-state estimation error than the LMS or NLMS algorithms, a property obtained at the cost of a moderate increase in computational complexity. We provide a deterministic convergence proof and present simulation results

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Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on  (Volume:1 )

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