Title :
Configurable nonlinear filter generator
Author :
Chi-Kwong Chan ; Cheng, L.M.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong
fDate :
2/19/1998 12:00:00 AM
Abstract :
A configurable nonlinear filter generator is proposed. The nonlinear function employed is key controllable. By changing the key, a different sequence will be obtained. Simulated results show that an optimal linear complexity profile of the sequence can be generated
Keywords :
Hopfield neural nets; nonlinear filters; shift registers; Hopfield neural nets; LFSRs; configurable nonlinear filter generator; key controllable nonlinear function; optimal linear complexity profile;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980314
