Title :
An approach to neuro-fuzzy filtering for communications and control
Author :
Z.M. Cojbasic;V.D. Nikolic
Author_Institution :
Fac. of Mech. Engineermg, Nis Univ., Serbia
fDate :
6/23/1905 12:00:00 AM
Abstract :
To reduce the influence of noise in communication and control systems the use of neuro-fuzzy adaptive nonlinear filters is studied. The most important advantage of the soft computing based adaptive filters is that linguistic and numerical information can be efficiently combined. A unified procedure for filter design is presented, and different approaches are also considered.
Keywords :
"Communication system control","Adaptive filters","Nonlinear filters","Noise cancellation","Control systems","Fuzzy systems","Neural networks","Nonlinear control systems","Information filtering","Information filters"
Conference_Titel :
Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2001. TELSIKS 2001. 5th International Conference on
Print_ISBN :
0-7803-7228-X
DOI :
10.1109/TELSKS.2001.955872
