Title :
Local-testability and self-correctability of q-ary sparse linear codes
Author :
Machmouchi, Widad
Author_Institution :
Comput. Sci. & Eng., Univ. of Washington, Seattle, WA, USA
Abstract :
We prove that q-ary sparse codes with small bias are self-correctable and locally testable. We generalize a result of Kaufman and Sudan that proves the local testability and correctability of binary sparse codes with small bias. We use properties of q-ary Krawtchouk polynomials and the McWilliams identity -that relates the weight distribution of a code to the weight distribution of its dual- to derive bounds on the error probability of the randomized tester and self-corrector we are analyzing.
Keywords :
binary codes; error correction; error statistics; linear codes; polynomials; McWilliams identity; binary sparse codes; error probability; local testability; q-ary Krawtchouk polynomials; q-ary sparse codes; q-ary sparse linear codes; self-correctability; weight distribution; Automatic testing; Complexity theory; Computer science; Decoding; Error correction; Error correction codes; Error probability; H infinity control; Linear code; Vectors;
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
DOI :
10.1109/ISIT.2010.5513421