Finite Blocklength Slepian-Wolf Coding

The authors characterize the fundamental limits for distributed lossless source coding (Slepian-Wolf) in the finite blocklength regime. They introduce a fundamental quantity known as the entropy dispersion matrix, which is analogous to scalar dispersion quantities. They show that if this matrix is positive-definite, the optimal rate region under the constraint of a fixed blocklength and non-zero error probability has a curved boundary compared to being polyhedral for the Slepian-Wolf case. In addition, the entropy dispersion matrix governs the rate of convergence of the non-asymptotic region to the asymptotic one

Provided by: University of Wisconsin-La Crosse Topic: Networking Date Added: Jan 2012 Format: PDF

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