Title :
Recursive algorithm for adaptive lattices
Author :
Durrani, T.S. ; Murukutla, N.L.M.
Author_Institution :
University of Strathclyde, Department of Electronic Science, Glasgow, UK
Abstract :
An adaptive algorithm is presented for the estimation of reflection coefficients of the lattice processor. Unlike currently available block processing algorithms, this does not require a priori storage of data, nor does it involve ad hoc choices of iteration step lengths which concern hill-climbing techniques.
Keywords :
filtering and prediction theory; signal processing; adaptive algorithm; block processing algorithms; filtering theory; hill climbing techniques; iteration step lengths; lattice processor; prediction theory; reflection coefficients; sequential estimation; signal processing;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19790591
