IEEE Transactions on Information Theory · 1989 · 312 citations · 8 references
EngineeringComputer ScienceElectrical EngineeringDigital CommunicationInformation TheoryProbability TheoryChannel CapacityChannel CodingCoding TheoryError Control CodingError-correcting CodesFinite Blocklength Information TheoryChannel Coding TheoremsData EncodingDiscrete Memoryless Channel CapacityDiscrete Memoryless ChannelsFinite Blocklength Channel Capacity
The authors' main finding is that any object among doubly exponentially many objects can be identified in blocklength n with arbitrarily small error probability via a discrete memoryless channel (DMC), if randomization can be used for the encoding procedure. A novel doubly exponential coding theorem is presented which determines the optimal R, that is, the identification capacity of the DMC as a function of its transmission probability matrix. This identification capacity is a well-known quantity, namely, Shannon's transmission capacity for the DMC.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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A Mathematical Theory of Communication
Claude E. Shannon · Bell System Technical Journal · 1948 · 80.7K citations