Title :
Adaptive algorithms and their convergence characteristics
Author_Institution :
Scripps Institution of Oceanography, San Diego, California
Abstract :
The convergence characteristics of the gradient transversal filter (LMS), the one coefficient gradient lattice (GL1), and the least squares lattice (LSL) are explored via two examples. The first investigates their ability to track the frequency dynamics of dual sinusoids whose power levels are widely separated and the second investigates the rate at which each algorithm is able to whiten a fourth order, complex, autoregressive process.
Keywords :
Adaptive algorithm; Adaptive filters; Array signal processing; Convergence; Laboratories; Lattices; Least squares approximation; Least squares methods; Nonlinear filters; Transversal filters;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1981 20th IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1981.269436
