Title :
Convergence properties of simplified gradient adaptive lattice algorithms
Author :
Iiguni, Youji ; Sakai, Hideaki ; Tokumaru, Hidekatsu
Author_Institution :
Kyoto University, Kyoto. Japan
fDate :
12/1/1985 12:00:00 AM
Abstract :
The convergence properties of four simplified gradient adaptive lattice algorithms are analyzed. First, the convergence models that specify the convergence rates are derived. Next, the variances of the estimation errors of the PARCOR coefficients in steady states are calculated. Using these results, the performance of these algorithms is compared.
Keywords :
Algorithm design and analysis; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Estimation error; Filters; Lattices; Least squares approximation; Signal processing algorithms; Steady-state;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1985.1164754
