DocumentCode
3783356
Title
Perceptron as BER estimator
Author
M. Narandzic;D. Zrilic;V. Senk
Author_Institution
Fac. of Technol., Novi Sad Univ., Serbia
fYear
2000
Firstpage
53
Lastpage
57
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"
Publisher
ieee
Conference_Titel
Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on
Print_ISBN
0-7803-5512-1
Type
conf
DOI
10.1109/NEUREL.2000.902384
Filename
902384
Link To Document