Generalized source coding theorems and hypothesis testing: Part II — Operational limits

Po-Ning Chen*, Fady Alajaji

*此作品的通信作者

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

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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