Abstract:Abstract-In this paper we consider the class of generalized antiuniform Huffman (AUH) codes for sources with infinite alphabet and geometric distribution. This distribution leads to infinite anti -uniform sources for some ranges of its parameters. Huffman coding of these sources results in AUH codes. We perform a generalization of binary Huffman encoding, using a M-letter code alphabet and prove that as a result of this encoding, sources with memory are obtained. For these sources we attach the graph and deriv… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.