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REPORTS > KEYWORD > DECODING ALGORITHMS:
Reports tagged with Decoding algorithms:
TR20-179 | 2nd December 2020
Siddharth Bhandari, Prahladh Harsha, Mrinal Kumar, Madhu Sudan

Decoding Multivariate Multiplicity Codes on Product Sets

The multiplicity Schwartz-Zippel lemma bounds the total multiplicity of zeroes of a multivariate polynomial on a product set. This lemma motivates the multiplicity codes of Kopparty, Saraf and Yekhanin [J. ACM, 2014], who showed how to use this lemma to construct high-rate locally-decodable codes. However, the algorithmic results about these ... more >>>


TR24-148 | 5th October 2024
Swastik Kopparty, Mrinal Kumar, Harry Sha

High Rate Multivariate Polynomial Evaluation Codes

Revisions: 1

The classical Reed-Muller codes over a finite field $\mathbb{F}_q$ are based on evaluations of $m$-variate polynomials of degree at most $d$ over a product set $U^m$, for some $d$ less than $|U|$. Because of their good distance properties, as well as the ubiquity and expressive power of polynomials, these codes ... more >>>


TR24-158 | 18th October 2024
Xin Li, Songtao Mao

Improved Explicit Near-Optimal Codes in the High-Noise Regimes

Revisions: 1

We study uniquely decodable codes and list decodable codes in the high-noise regime, specifically codes that are uniquely decodable from $\frac{1-\varepsilon}{2}$ fraction of errors and list decodable from $1-\varepsilon$ fraction of errors. We present several improved explicit constructions that achieve near-optimal rates, as well as efficient or even linear-time decoding ... more >>>




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