Abstract
A new lower bound for the mean code length of all one-to-one codes for a random variable withnoutcomes is derived. The bound, which is tight, improves an earlier one due to Leung-Yan-Cheong and Cover. Another bound for one-to-one codes for binary information sources is derived.

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