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Bias-compensated affine-projection-like algorithms with noisy input

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PROJECT TITLE :

Bias-compensated affine-projection-like algorithms with noisy input

ABSTRACT:

A replacement class of bias-compensated affine-projection-like (APL) algorithms is proposed, in that a bias-compensation vector is derived to eliminate the bias caused by the noisy input. Additionally, a replacement estimation technique for the input noise variance is proposed that will not need the input–output noise variance ratio earlier. Simulations in a system identification context show that the proposed algorithms achieve important enhancements in steady-state misalignment as compared with the traditional APL algorithms.


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Bias-compensated affine-projection-like algorithms with noisy input - 4.9 out of 5 based on 15 votes

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