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Universal source polarization and sparse recovery

机译:通用光源极化和稀疏恢复

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Polar codes allow to perform lossless compression of i.i.d. sources at the lowest rate with low encoding and decoding complexity. In this paper, it is shown that for binary sources, there exist “universal polar codes” which can compress any source of low enough entropy, without requiring knowledge of the source distribution. While this result does not extend to q-ary sources, it is shown how it extends to q-ary sources which belong to a restricted family. An analogy between this family and BECs in channel polarization is discussed. Finally, an application of the universal source polarization results to sparse data recovery is proposed.
机译:极地代码允许执行i.d.的无损压缩。源以最低的速率编码和解码的复杂性较低。本文表明,对于二进制源,存在“通用极性码”,可以压缩任何具有足够低熵的源,而无需了解源分布。尽管此结果未扩展到q元数据源,但显示了它如何扩展到属于受限族的q元数据源。讨论了该族和BEC在信道极化方面的类比。最后,提出了通用源极化结果在稀疏数据恢复中的应用。

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