Abstract:
Analogously to the rate distortion function, the error distortion function is defined for a multiple-hypothesis decision problem. The error distortion functione(d)is defi...Show MoreMetadata
Abstract:
Analogously to the rate distortion function, the error distortion function is defined for a multiple-hypothesis decision problem. The error distortion functione(d)is defined as the supremum of the Bayes' error probability for transformed observations for which the average distortion is less thand (d \geq O)The main result is that the functione(d)is continuous at O.
Published in: IEEE Transactions on Information Theory ( Volume: 21, Issue: 4, July 1975)