Abstract
In light of the information measures introduced in Part I, a generalized version of the Asymptotic Equipartition Property (AEP) is proved. General fixed‐length data compaction and data compression (source coding) theorems for arbitrary finite‐alphabet sources are also established. Finally, the general expression of the Neyman‐Pearson type‐II error exponent subject to upper bounds on the type‐I error probability is examined.
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