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Can I know why for the purpose of BER statistics, the equal number of 0's and 1's in the testing data gives the maximum capacity of the transmission system?
I havent heard anything like that before. Could you please send a reference which says "the equal 0s and 1s gives the max. capacity"? or where did you hear that?
Added after 3 hours 31 minutes:
Sorry for answering again in a separate reply but something has appeared in my mind about your question; Due to Information theory the maximum entropy (which is strictly related to capacity) can only be obtained if a random variable is Gaussian disributed. If I am not wrong and If I remember my undergraduate lectures properly, then the gaussian distribution means a distribution where the probabilities of every random event is equal. In your question the events are 0s and 1s. In order to get maximum entropy (thus the maximum capacity) you need to make 0s and 1s equi-probable (same numbers of 1s and 0s). If you think this might be the answer then I refer you to some reading on "capacity&entropy" and the "entropy of gausian distribution".
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