Title :
A realizable parallel RLS parameter estimator
Author :
Gaston, F.M.F. ; Brown, D.W.
Author_Institution :
Digital Systems and Vision Processing, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Abstract :
In this paper we derive, from a dependence graph, a rectangular parallel architecture for RLS parameter estimation. It has a number of advantages over the traditional triangular structure whilst maintaining the same throughput. These advantages are identical cells, easy expandability for increases in the number of parameters, reduced data flow, useful data is easily extracted and all these properties together make it more attractive for VLSI implementation.
Keywords :
Arrays; Mathematical model; Parameter estimation; Signal processing algorithms; Very large scale integration;
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6