Folded Codes from Function Field Towers and Improved Optimal Rate List Decoding
Venkatesan Guruswami, Chaoping Xing

TL;DR
This paper introduces a new algebraic code construction that achieves near-optimal list decoding capabilities with efficient algorithms, close to theoretical bounds in error correction, alphabet size, and list size, using function field towers.
Contribution
The paper presents a novel algebraic code construction based on function field towers that improves list decoding radius and efficiency, approaching existential bounds in multiple parameters.
Findings
Achieves list decoding from a fraction 1-R-ε of errors with list size O(1/ε)
Constructs codes with constant alphabet size depending only on ε
Provides efficient encoding and decoding algorithms with polynomial runtime
Abstract
We give a new construction of algebraic codes which are efficiently list decodable from a fraction of adversarial errors where is the rate of the code, for any desired positive constant . The worst-case list size output by the algorithm is , matching the existential bound for random codes up to constant factors. Further, the alphabet size of the codes is a constant depending only on - it can be made which is not much worse than the lower bound of . The parameters we achieve are thus quite close to the existential bounds in all three aspects - error-correction radius, alphabet size, and list-size - simultaneously. Our code construction is Monte Carlo and has the claimed list decoding property with high probability. Once the code is (efficiently) sampled, the encoding/decoding algorithms are…
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