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Title Convergence and bias in the LSG algorithm for adaptive lattice filters
 
Names NEGI, R
POONACHA, PG
Date Issued 1998 (iso8601)
Abstract The lattice filter has several desirable characteristics that make it attractive in adaptive applications. The Lattice Stochastic Gradient (also called Gradient Adaptive Lattice algorithm) is popularly used to adapt the lattice filter. However, a theoretical study of the bias in the reflection coefficient and the convergence of the LSG algorithm have not been studied extensively yet. This paper presents some theoretical results on these issues. It is hoped that the results will also present some insights into the factors affecting the convergence of the filter.
Genre Article; Proceedings Paper
Identifier SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES,23,83-91