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Universal source polarization and sparse recovery

机译:通用源极化和稀疏恢复

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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:极性代码允许执行i.i.d的无损压缩。以低编码和解码复杂度的最低速率来源。在本文中,示出了对于二进制来源,存在“通用极性代码”,其可以压缩任何足够低的熵源,而无需了解源分布。虽然此结果不扩展到Q-ary来源,但它显示出它如何延伸到属于受限制家庭的Q-ary来源。讨论了该系列和BEC在信道极化之间的类比。最后,提出了普遍源极化结果的应用于稀疏数据恢复。

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