Title :
A recursive maximum likelihood algorithms for ARMA line enhancement
Author_Institution :
Systems Control, Inc., Palo Alto, California
Abstract :
Optimal filtering of narrowband signals corrupted by noise requires an infinite impulse response (IIR) filter. A recursive maximum likelihood algorithm is proposed for adaptively adjusting the coefficients of an IIR line enhancer. The performance of this adaptive IIR filter is analyzed and its advantages compared to finite impulse filters are discussed.
Keywords :
Adaptive algorithm; Convergence; Digital filters; Equations; Finite impulse response filter; IIR filters; Least squares approximation; Maximum likelihood estimation; Parameter estimation; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
DOI :
10.1109/ICASSP.1981.1171256
