Divergence Scaling for Distribution Matching
arXiv:2105.00406
Abstract
Distribution matchers for finite alphabets are shown to have informational divergences that grow logarithmically with the block length, generalizing a basic result for binary strings.
2021 IEEE International Symposium on Information Theory