
arXiv: 1102.3944
This paper studies the minimum achievable source coding rate as a function of blocklength $n$ and probability $ε$ that the distortion exceeds a given level $d$. Tight general achievability and converse bounds are derived that hold at arbitrary fixed blocklength. For stationary memoryless sources with separable distortion, the minimum rate achievable is shown to be closely approximated by $R(d) + \sqrt{\frac{V(d)}{n}} Q^{-1}(ε)$, where $R(d)$ is the rate-distortion function, $V(d)$ is the rate dispersion, a characteristic of the source which measures its stochastic variability, and $Q^{-1}(ε)$ is the inverse of the standard Gaussian complementary cdf.
converse, FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), rate distortion, Shannon theory, memoryless sources, finite blocklength regime, lossy source coding, 620, 004, Achievability
converse, FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), rate distortion, Shannon theory, memoryless sources, finite blocklength regime, lossy source coding, 620, 004, Achievability
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