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A combination of testability and decodability by tensor products
- Source :
- Random Structures & Algorithms. 46:572-598
- Publication Year :
- 2013
- Publisher :
- Wiley, 2013.
-
Abstract
- Ben-Sasson and Sudan (RSA 2006) showed that repeated tensor products of linear codes with a very large distance are locally testable. Due to the requirement of a very large distance the associated tensor products could be applied only over sufficiently large fields. Then Meir (SICOMP 2009) used this result (as a black box) to present a combinatorial construction of locally testable codes that match best known parameters. As a consequence, this construction was obtained over sufficiently large fields. In this paper we improve the result of Ben-Sasson and Sudan and show that for \emph{any} linear codes the associated tensor products are locally testable. Consequently, the construction of Meir can be taken over any field, including the binary field. Moreover, a combination of our result with the result of Spielman (IEEE IT, 1996) implies a construction of linear codes (over any field) that combine the following properties: have constant rate and constant relative distance; have blocklength $n$ and testable with $n^{\epsilon}$ queries, for any constant $\epsilon > 0$; linear time encodable and linear-time decodable from a constant fraction of errors. Furthermore, a combination of our result with the result of Guruswami et al. (STOC 2009) implies a similar corollary regarding the list-decodable codes.
- Subjects :
- FOS: Computer and information sciences
Block code
Discrete mathematics
Applied Mathematics
General Mathematics
Reed–Muller code
Computational Complexity (cs.CC)
Computer Science::Computational Complexity
Locally testable code
Locally decodable code
Computer Graphics and Computer-Aided Design
Linear code
Computer Science - Computational Complexity
Tensor product
Large distance
Software
Testability
Mathematics
Subjects
Details
- ISSN :
- 10429832
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- Random Structures & Algorithms
- Accession number :
- edsair.doi.dedup.....97ab31ec49ddaef3c9d85e9f7093fc5b