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Adaptive IIR filtering with monic normalization: reduced-order approximation

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2 Author(s)
Kim, H.-N. ; Dept. of Electron. & Electr. Eng., Pohang Inst. of Sci. & Technol., South Korea ; Woo-Jin Song

The monic normalization equation-error (MNEE) algorithm for adaptive IIR filtering is applied to the reduced-order identification. It is shown that the parameter estimates converge to the solution of the well-known eigenvalue equation. Unlike the ordinary equation-error adaptive IIR filter, the MNEE adaptive IIR filter matches the second-order response as well as the impulse response of an unknown system. The simulation results confirm that the simple MNEE algorithm can provide a stable, unbiased estimate in the reduced-order case.

Published in:

Signal Processing Letters, IEEE  (Volume:7 ,  Issue: 3 )

Date of Publication:

March 2000

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