Title :
A simplified FTF-Type algorithm for adaptive filtering
Author :
Benallal, Ahmed ; Benkrid, Abdelhak
Author_Institution :
Coll. of Technol., Dammam, Saudi Arabia
Abstract :
Fast RLS algorithms are known to present numerical instability and this instability is originated in the forward prediction parameters. In this paper, A simplified FTF-Type algorithm for adaptive filtering is presented. The basic idea behind the proposed algorithm is to avoid using the backward variables. The algorithm obtained is less complex than the existing numerically stable fast FTF and shows the same performances.
Keywords :
adaptive filters; least squares approximations; numerical stability; FTF-type algorithm; adaptive filtering; backward variables; fast RLS algorithms; fast recursive least squares; numerical instability; Abstracts; Filtering algorithms; Numerical stability; Prediction algorithms; Transversal filters; Vectors;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
