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An adaptive IIR algorithm with unimodal performance surfaces

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2 Author(s)
Karni, Shlomo ; Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA ; Zeng, G.

The authors develop an adaptive IIR (infinite-impulse response) algorithm by means of least squares inverses; the algorithm also guarantees the resulting IIR system to be stable. This IIR algorithm consists of two subalgorithms, i.e. the all-pole QN( z) and all-zero PN(z) algorithms. Both are with quadratic performance surfaces and stable. The iterations for QN(z) and PN(z ) can be executed simultaneously or alternatively. The all-pole part is independent of PN(z), but the all-zero part depends on QN(z) at each iteration. In many cases, the all-pole model itself is a fairly good approximation of an IIR system

Published in:

Acoustics, Speech and Signal Processing, IEEE Transactions on  (Volume:36 ,  Issue: 2 )

Date of Publication:

Feb 1988

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