Title :
A homotopy continuation mapping for the Steiglitz-McBride adaptive algorithm
Author :
Netto, S.L. ; Agathoklis, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fDate :
30 May-2 Jun 1994
Abstract :
In the last years, adaptive infinite-duration impulse response filters (IIR) have been studied as a possible alternative to adaptive finite-duration impulse response (FIR) filters. Some of the best known approaches for adaptive IIR filtering include the output error (OE), the equation error (EE), and the Steiglitz-McBride (SM) algorithms. In this paper, a homotopy continuation mapping (HCM) of the SM adaptive algorithm is proposed by using the OE and EE algorithms as basic schemes. The utilization of the homotopy factor results in a simple analysis of the general convergence behavior of the SM algorithm, allowing a direct comparison with the convergence properties of the OE and EE algorithms. Numerical examples are included in order to demonstrate the usefulness of the proposed mapping
Keywords :
Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Equations; Filtering; Finite impulse response filter; IIR filters; Samarium; Stability;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.408904