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Limited-Magnitude Error-Correcting Gray Codes for Rank Modulation

机译:用于秩调制的限幅纠错格雷码

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We construct error-correcting codes over permutations under the infinity-metric, which are also Gray codes in the context of rank modulation, i.e., are generated as simple circuits in the rotator graph. These errors model limited-magnitude or spike errors, for which only single-error-detecting Gray codes are currently known. Surprisingly, the error-correcting codes we construct achieve a better asymptotic rate than that of presently known constructions not having the Gray property, and exceed the Gilbert-Varshamov bound. Additionally, we present efficient ranking and unranking procedures, as well as a decoding procedure that runs in linear time. Finally, we also apply our methods to solve an outstanding issue with error-detecting rank-modulation Gray codes (also known in this context as snake-in-the-box codes) under a different metric, the Kendall -metric, in the group of permutations over an even number of elements , where we provide asymptotically optimal codes.
机译:我们在无穷大度量下的置换上构造纠错码,在秩调制的上下文中它们也是格雷码,即,在旋转图中作为简单电路生成。这些错误模拟了有限幅度或尖峰错误,目前仅知道这些错误的格雷码。令人惊讶地,我们构造的纠错码比目前不具有Gray属性的构造具有更好的渐近率,并且超出了Gilbert-Varshamov界限。此外,我们提出了有效的排名和取消排名程序,以及在线性时间内运行的解码程序。最后,我们还运用我们的方法来解决一个错误问题,即在组中使用不同度量(Kendall度量)下的检错秩调制格雷码(在这种情况下也称为盒中蛇码)在偶数个元素上的排列,我们提供渐近最优代码。

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