Adaptive Channel Equalisation using Higher Order Neural Networks

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smanjume

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hi all,
i'm dng my project on adaptive channel equalisation using Higher Order Neural network(HONN).i ve some doubts. i have taken x as the original signal; and r as the noise signal. r is input to HONN. Output of HONN is y. Error signal is found out by e=x-y. Until e reduces to a small value the training is performed.
My question is: In real time application, such as if applying the adaptive channel equalisation in modems, we wont know x value i.e original signal. then how could e value to be found.
thks in advance.
Manju
 

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