Universality of Logarithmic Loss in Successive Refinement
Albert No
Entropy · 2019
doi:10.3390/e21020158 (opens in a new tab)
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Abstract
We establish an universal property of logarithmic loss in the successive refinement problem. If the first decoder operates under logarithmic loss, we show that any discrete memoryless source is successively refinable under an arbitrary distortion criterion for the second decoder. Based on this result, we propose a low-complexity lossy compression algorithm for any discrete memoryless source.
Abstract licence: CC BY
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