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- W2579176904 abstract "This chapter considers the setup when the reconstructed signal after lossless compression is identical to the original input. Because the limit of compressing a source is governed by its entropy, lossless compression is often called entropy coding. Lossless distributed source coding (DSC) refers to any method that independently and losslessly compresses the sources and jointly decompresses them by exploiting mutual correlation among them. The chapter explains how this is done and outlines the main information-theoretical results. It starts with the Slepian-Wolf (SW) coding problem, which is not only the simplest but was also the first considered distributed compression problem. In 1973, SW considered the separate compression and joint lossless decompression of two discrete sources. This is the simplest DSC problem with only two encoders and one decoder. The SW bound comprises of three segments: one horizontal and one vertical line which come from the first and second inequality, and one diagonal line which bounds the rate sum and is also the limit for joint compression." @default.
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- W2579176904 date "2017-01-06" @default.
- W2579176904 modified "2023-09-25" @default.
- W2579176904 title "Lossless Compression of Correlated Sources" @default.
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- W2579176904 doi "https://doi.org/10.1002/9781118705957.ch2" @default.
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