Title :
Reconstruction of convolutional codes from noisy observation
Author :
Côte, Maxime ; Sendrier, Nicolas
Author_Institution :
IPSIS, Cesson-Sevigne, France
fDate :
June 28 2009-July 3 2009
Abstract :
In this work, we present an algorithm to recover the convolutional code which has produced a observed noisy binary sequence. It makes use of previously unpublished structural properties of convolutional codes that we present here. This allow us to improve on previously known techniques. The algorithm was fully implemented and runs in reasonable time for practical parameters values.
Keywords :
binary sequences; convolutional codes; binary sequence; convolutional code reconstruction; Binary codes; Binary sequences; Block codes; Context; Convolutional codes; Dissolved gas analysis; Error correction codes; Linear algebra; Linear systems; Reverse engineering;
Conference_Titel :
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4312-3
Electronic_ISBN :
978-1-4244-4313-0
DOI :
10.1109/ISIT.2009.5205729
