In this work, we study linear error-correcting codes against adversarial insertion-deletion (insdel) errors, a topic that has recently gained a lot of attention. We construct linear codes over Fq, for q = poly(1/ε), that can efficiently decode from a δ fraction of insdel errors and have rate (1 - 4δ)=8-ε. We also show that by allowing codes over Fq2 that are linear over Fq, we can improve the rate to (1 - δ)/4 - ε while not sacrificing efficiency. Using this latter result, we construct fully linear codes over F2 that can efficiently correct up to δ < 1/54 fraction of deletions and have rate R = (1 - 54 · δ)/1216. Cheng, Guruswami, Haeupler, and Li  constructed codes with (extremely small) rates bounded away from zero that can correct up to a δ < 1/400 fraction of insdel errors. They also posed the problem of constructing linear codes that get close to the half-Singleton bound (proved in ) over small fields. Thus, our results significantly improve their construction and get much closer to the bound.
|Number of pages||1|
|Journal||IEEE Transactions on Information Theory|
|State||Accepted/In press - 2022|
- Computational modeling
- Integrated circuit modeling
- Linear codes