Title :
Perceptron as BER estimator
Author :
M. Narandzic;D. Zrilic;V. Senk
Author_Institution :
Fac. of Technol., Novi Sad Univ., Serbia
Abstract :
Presents a neural network-based method for online BER monitoring in digital communication systems. According to this method, communication channel distributions are estimated and their statistical moments calculated. An artificial neural network is trained to map these moments into appropriate values of bit error rate.
Keywords :
"Bit error rate","Neural networks","Distortion measurement","Condition monitoring","Communication systems","Testing","Velocity measurement","Statistical analysis","Distribution functions","Decision making"
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on
Print_ISBN :
0-7803-5512-1
DOI :
10.1109/NEUREL.2000.902384
