Journal article
Learning characteristics of adaptive lattice filtering algorithms
Abstract
This paper describes the performance and learning characteristics of the continuously adaptive lattice form for prediction-error filtering. Quantitative relationships are developed for convergence behavior, and procedures are described for selection of the adaptive weighting constant and filter order. Burg's algorithm is used to calculate the reflection coefficients of the filter. Based on this algorithm, two recursive relationships are …
Authors
Gibson C; Haykin S
Journal
IEEE Transactions on Signal Processing, Vol. 28, No. 6, pp. 681–691
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
December 1980
DOI
10.1109/tassp.1980.1163490
ISSN
1053-587X