On expansion this leads to the equation given above for this case. 2. THE DISCRETE … See more

✪ åj p i j We define the conditional entropy of y, Hx y as the average of the entropy of y for each value of x, weighted according to the probability of getting that particular x. That is… See more

This is the entropy of the source per symbol of text. If the Markoff process is proceeding at a definite time rate there is also an entropy per second See more

where the sum is over all sequences Bi containing N symbols. Then GN is a monotonic decreasing function of N and Lim GN H N ¥ Theorem 6: Let p Bi Sj be the probabi… See more

s ij where s ij is the duration of the sth symbol leading from state i to state j and the Bi satisfy Bi åBjW j ij then H is maximized and equal to C. By proper assignmen… See more