Title :
Adaptive LMS Ternary Filtering
Author :
Sadik, Amin Z. ; Hussain, Zahir M.
Author_Institution :
Sch. of Eng. Syst., Queensland Univ. of Technol., Melbourne, VIC
Abstract :
The unresolved problem of finding an adaptive LMS structure for ternary filters has substantially limited their useability despite their major advantage of hardware simplicity. In this paper we tackle this challenging problem by introducing an algorithm that seems to be quite promising. Results were surprising as it appeared that the proposed ternary algorithm is comparable in performance to the multi-bit Wiener LMS algorithm, we expect that this approach will open the door for ternary systems to be ready for replacing multi-bit signal processing systems.
Keywords :
adaptive filters; filtering theory; least mean squares methods; signal processing; adaptive least mean square structure; digital signal processing; ternary filters; Adaptive algorithm; Adaptive filters; Australia; Digital signal processing; Filtering algorithms; Filtering theory; Finite impulse response filter; Hardware; Least squares approximation; Signal processing algorithms;
Conference_Titel :
TENCON 2005 2005 IEEE Region 10
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7803-9311-2
Electronic_ISBN :
0-7803-9312-0
DOI :
10.1109/TENCON.2005.301285