Title :
A recursive maximum likelihood algorithm for ARMA line enhancement
Author :
Friedlander, Benjamin
Author_Institution :
Systems Control Technology, Inc., Palo Alto, CA
fDate :
8/1/1982 12:00:00 AM
Abstract :
Optimal filtering of narrow-band 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 compared to that of a finite impulse response filter. Preliminary simulation results are presented to illustrate the behavior of the proposed algorithm under various signal-to-noise conditions.
Keywords :
Acoustic signal processing; Adaptive filters; Finite impulse response filter; IIR filters; Least squares approximation; Least squares methods; Maximum likelihood estimation; Signal processing algorithms; Speech processing; White noise;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1982.1163940
