DocumentCode :
1995152
Title :
Convergence of a frequency-domain adaptive IIR filtering algorithm
Author :
Fan, Hong ; Yang, Yang
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
fYear :
1989
fDate :
14-16 Aug 1989
Firstpage :
1134
Abstract :
Convergence of a recently developed frequency-domain adaptive pole-zero infinite impulse response (IIR) filtering algorithm by J.J. Shynk and R.P. Gooch (1986) is studied. A technique using ordinary differential equations (ODE) is modified and applied to this algorithm. It is shown that under certain statistical conditions the algorithm converges in probability to an associated ODE which in turn converges to a local minimum of its performance surface
Keywords :
digital filters; frequency-domain analysis; signal processing; algorithm converges; frequency-domain adaptive IIR filtering algorithm; local minimum; ordinary differential equations; performance surface; pole-zero infinite impulse response; probability; Adaptive filters; Convergence; Differential equations; Filtering algorithms; IIR filters; Monitoring; Postal services; Probability; Recursive estimation; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
Type :
conf
DOI :
10.1109/MWSCAS.1989.102055
Filename :
102055
Link To Document :
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