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Adaptive IIR filtering with monic normalization: Reduced-order approximation
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DOI：10.1109/97.823524.png)
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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.
Keyword:
adaptive IIR filtering
manic normalization
reduced-order approximation
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1.1W
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1.7W
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