Title :
On the convergence of discrimination information (Corresp.)
fDate :
9/1/1968 12:00:00 AM
Abstract :
A sufficient condition involving a hypothesis of mean-square convergence is given for the convergence of discrimination information. A stronger condition requiring uniform convergence has already been given. An example is given which satisfies the mean-square convergence hypothesis but not the uniform convergence hypothesis.
Keywords :
Entropy functions; Information theory; Algebra; Convergence; Entropy; Probability; Q measurement; Random processes; Random variables; Statistical distributions; Sufficient conditions;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1968.1054195
