Title :
A family of consistent Steiglitz-McBride algorithms for IIR adaptive filtering
Author :
Diniz, Paulo S R ; Cousseau, Juan E.
Author_Institution :
COPPE, Univ. Federal do Rio de Janeiro, Brazil
fDate :
30 Apr-3 May 1995
Abstract :
In this paper is proposed a family of algorithms based on the Steiglitz-McBride (SM) method for IIR adaptive filtering. The main feature of the algorithms is that the resulting estimates are consistent. The conceptual similarities between the SM method and the equation error (EE) method are explored in order to derive some properties of the new algorithms. In particular, some basic properties of the proposed algorithms are analysed, namely the stationary points and local convergence. The general performance of the new algorithms are verified through some simulations of system identification application
Keywords :
IIR filters; adaptive filters; digital filters; filtering theory; identification; IIR adaptive filtering; consistent Steiglitz-McBride algorithms; equation error method; local convergence; stationary points; system identification application; Adaptive filters; Algorithm design and analysis; Equations; Filtering algorithms; IIR filters; Noise measurement; Parameter estimation; Samarium; Signal processing; System identification;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.523759
