Pseudorandom Linear Codes are List Decodable to Capacity
Pseudorandom Linear Codes are List Decodable to Capacity
复制标题
伪随机线性码可按容量解码列表
DOI:
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Edward Pyne
中科院分区:
文献类型:
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作者:
Aaron Putterman;Edward Pyne
We introduce a novel family of expander-based error correcting codes. These codes can be sampled with randomness linear in the block-length, and achieve list-decoding capacity (among other local properties). Our expander-based codes can be made starting from any family of sufficiently low-bias codes, and as a consequence, we give the first construction of a family of algebraic codes that can be sampled with linear randomness and achieve list-decoding capacity. We achieve this by introducing the notion of a pseudorandom puncturing of a code, where we select $n$ indices of a base code $Csubset mathbb{F}_q^m$ via an expander random walk on a graph on $[m]$. Concretely, whereas a random linear code (i.e. a truly random puncturing of the Hadamard code) requires $O(n^2)$ random bits to sample, we sample a pseudorandom linear code with $O(n)$ random bits. We show that pseudorandom puncturings satisfy several desirable properties exhibited by truly random puncturings. In particular, we extend a result of (Guruswami Mosheiff FOCS 2022) and show that a pseudorandom puncturing of a small-bias code satisfies the same local properties as a random linear code with high probability. As a further application of our techniques, we also show that pseudorandom puncturings of Reed Solomon codes are list-recoverable beyond the Johnson bound, extending a result of (Lund Potukuchi RANDOM 2020). We do this by instead analyzing properties of codes with large distance, and show that pseudorandom puncturings still work well in this regime.
DOI:
10.1109/focs46700.2020.00050
发表时间:
2020
期刊:
Foundations of Computer Science (FOCS 2020
影响因子:
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作者:
Mosheiff, Jonathan;Resch, Nicolas;Ron-Zewi, Noga;Silas, Shashwat;Wootters, Mary
通讯作者:
Wootters, Mary
DOI:
10.1145/3406325.3451126
发表时间:
2021
期刊:
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
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作者:
Jeronimo, Fernando Granha;Srivastava, Shashank;Tulsiani, Madhur
通讯作者:
Tulsiani, Madhur
DOI:
10.4230/lipics.approx/random.2020.9
发表时间:
2020
影响因子:
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作者:
Guruswami, Venkatesan;Li, Ray;Mosheiff, Jonathan;Resch, Nicolas;Silas, Shashwat;Wootters, Mary
通讯作者:
Wootters, Mary