Title :
A new composite adaptive IIR algorithm
Author :
Netto, S.L. ; Agathoklis, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fDate :
31 Oct-2 Nov 1994
Abstract :
Adaptive infinite-duration impulse response (IIR) filters have been studied as a possible alternative to adaptive finite-duration impulse response (FIR) filters. Two of the best known approaches for adaptive IIR filtering include the output error (OE) and the equation error (EE) algorithms. A new algorithm, the so-called composite square error (CSE) algorithm, for adaptive IIR filtering is introduced based on the explicit combination of the OE and and EE schemes. An innovative strategy for updating the composite factor and force the proposed algorithm to converge to the OE solution is also presented. Examples are included to demonstrate some of the interesting features of the new technique
Keywords :
IIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; error analysis; filtering theory; adaptive IIR filtering; adaptive infinite impulse response filters; composite adaptive IIR algorithm; composite factor updating; composite square error algorithm; convergence; equation error algorithm; output error algorithm; Adaptive filters; Convergence; Equations; Filtering algorithms; Finite impulse response filter; IIR filters; Monitoring; Noise measurement; Stability; Sufficient conditions;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471709
