Title :
BIBO stability of adaptive normalized lattice IIR system
Author :
Mia, Kai X. ; Fan, Hong
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Abstract :
An approach to deriving adaptive algorithms is presented. It is shown that the time-varying normalized lattice feedback model, under a very simple condition, is uniformly exponentially stable and thus bounded input/bounded output (BIBO) stable. Applications of this result to adaptive IIR (infinite impulse response) signal processing are then discussed. Simulation results are presented
Keywords :
adaptive filters; digital filters; feedback; filtering and prediction theory; signal processing; stability; BIBO stability; adaptive filters; adaptive normalized lattice IIR system; digital filters; infinite impulse response; signal processing; time-varying normalized lattice feedback model; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Application software; IIR filters; Lattices; Postal services; Signal processing algorithms; Stability; Time varying systems;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.203489
