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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1995152