TY - JOUR
T1 - CONVERGENCE PROPERTIES OF AN ADAPTIVE DIGITAL LATTICE FILTER.
AU - Honig, Michael
AU - Nesserschmitt, David G.
PY - 1980/1/1
Y1 - 1980/1/1
N2 - Convergence properties of a continuously adaptive digital lattice filter used as a linear predictor are investigated for both an unnormalized and a normalized gradient adaptation algorithm. The PARCOR coefficient mean value and the output mean square error are approximated and a simple model is described which approximates these quantities as functions of time. Calculated curves are compared with simulation results. Results obtained for a two stage lattice are then compared with the two-stage 1ms transversal filter algorithm, demonstrating that it is possible but unlikely for the transversal filter to converge faster than the analogous lattice filter.
AB - Convergence properties of a continuously adaptive digital lattice filter used as a linear predictor are investigated for both an unnormalized and a normalized gradient adaptation algorithm. The PARCOR coefficient mean value and the output mean square error are approximated and a simple model is described which approximates these quantities as functions of time. Calculated curves are compared with simulation results. Results obtained for a two stage lattice are then compared with the two-stage 1ms transversal filter algorithm, demonstrating that it is possible but unlikely for the transversal filter to converge faster than the analogous lattice filter.
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M3 - Article
AN - SCOPUS:0019220795
VL - 3
SP - 984
EP - 988
JO - Record - IEEE International Conference on Acoustics, Speech & Signal Processing
JF - Record - IEEE International Conference on Acoustics, Speech & Signal Processing
ER -