DocumentCode :
2521123
Title :
New results on periodic sequences with large k-error linear complexity
Author :
Hu, Honggang ; Gong, Guang ; Feng, Dengguo
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON
fYear :
2008
fDate :
6-11 July 2008
Firstpage :
2409
Lastpage :
2413
Abstract :
Niederreiter showed that there is a class of periodic sequences which possess large linear complexity and large k- error linear complexity simultaneously. This result disproved the conjecture that there exists a trade-off between the linear complexity and the k-error linear complexity of a periodic sequence by Ding et al.. Using the entropy function in coding theory, we obtain three main results which hold for much larger k than those of Niederreiter et al.: a) sequences with maximal linear complexity and almost maximal k-error linear complexity with general periods; b) sequences with maximal linear complexity and maximal k-error linear complexity with special periods; c) sequences with maximal linear complexity and almost maximal k-error linear complexity in the asymptotic case with composite periods.
Keywords :
computational complexity; entropy codes; sequences; coding theory; entropy function; maximal k-error linear complexity; periodic sequences; Codes; Cryptography; Entropy; Galois fields; Information security; Laboratories; Linear feedback shift registers; Polynomials; Random sequences; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
Type :
conf
DOI :
10.1109/ISIT.2008.4595423
Filename :
4595423
Link To Document :
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