Neuro Clean: The Neural Network Implementation of A Channel Equalizer
Alden Arzaga and William Korbecki
Advisors: Drs. T. L. Stewart and I. S. Ahn
A problem in digital signal transmission occurs when a signal in one
signal interval overlaps the signal in an adjacent interval. This problem
is called intersymbol interference and limits the speed of digital transmission.
Interference and noise are common in communication channels, and the recovery
of transmitted signals can be a difficult task. Channel equalization is
used to recover the transmitted signals. In this project, a neural network
is simulated and constructed to perform as a channel equalizer. Simulated
on MATLAB and C codes, the equalizer was eventually loaded onto a TMS320C30
board. Results of these investigations and a general evaluation of the
equalizer will be presented.
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