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Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/20382

Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm

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Title: Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm
Author: Abdallah, Chaouki T.; Perez-Gonzalez, F.
Subject(s): Adaptive algorithm
Algorithm design and analysis
Finite impulse response filter
Abstract: In this paper we design a finite impulse response (FIR) filter to enforce the so-called strictly positive realness (SPR) condition in an adaptive infinite impulse response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms.
Date: 1994-10-02
Publisher: IEEE
Citation: 1994 Sixth IEEE Digital Signal Processing Workshop, 1994: 19-22
Description: Digital Object Identifier : 10.1109/DSP.1994.379883
URI: http://hdl.handle.net/1928/20382
ISBN: 0-7803-1948-6

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