The finest homophonic partition and related code concepts

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Abstract

Let C be a finite set of n words having total length L where all words are taken over a k-element alphabet. The set C is numerically decipherable if any two factorizations of the same word over the given alphabet into words in C have the same length. An O(nL2) time and O((n + k)L) space algorithm is presented for computing the finest homophonic partition of C provided that this set is numerically decipherable. Whether or not the set C is numerically decipherable can be decided by another algorithm requiring O(nL) time and O((n + k)L) space. These algorithms are based on a recently developed technique related to dominoes. The presentation includes similar procedures which decide in O(nL) time and O((n+k)L) space whether or not C is uniquely decipherable and in O(n2L) time and O((n + k)L) space whether or not C is multiset decipherable.

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APA

Weber, A., & Head, T. (1994). The finest homophonic partition and related code concepts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 841 LNCS, pp. 618–628). Springer Verlag. https://doi.org/10.1007/3-540-58338-6_108

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