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On the convergence speed of nonlinear least-squares IIR adaptive filter

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2 Author(s)
H. J. Kim ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea ; C. K. Un

The authors investigate an infinite-impulse response (IIR) adaptive digital filter (ADF) based on the nonlinear least-squares (NLS) algorithm, and compare its convergence speed to that of a self-orthogonalizing IIR ADF which is known to have fastest convergence. By simulation, it is shown that the NLS IIR ADF converges faster than other known IIR ADFs, especially for a low-order case.<>

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Proceedings of the IEEE  (Volume:76 ,  Issue: 7 )