Title :
Stability of adaptive FIR filters
Author :
Horna, Otakar A.
Author_Institution :
IBM Corp., Gaithersburg, MD, USA
Abstract :
Svoboda´s matrix inversion algorithm is used to analyze the adaptive FIR (finite-impulse response) filter. To get stable response, conditions of convergence and solvability have to be met. They determine the maximum correction step of the adaptive loop, the lower bound of the norm of output signal vector and the statistical properties of the reference signal. Methods of signal decorrelation are discussed and the upper bounds of resolution of a digital filter are derived. The long-term instability caused by parasitic DC voltages in the correction loop is analyzed and stabilization methods are suggested
Keywords :
digital filters; filtering and prediction theory; stability; Svoboda´s matrix inversion algorithm; adaptive FIR filters; convergence; correction loop; digital filter; finite-impulse response; long-term instability; parasitic DC voltages; signal decorrelation; stability; Adaptive filters; Algorithm design and analysis; Convergence; Decorrelation; Digital filters; Finite impulse response filter; Signal resolution; Stability; Upper bound; Voltage;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196889
