Title : 
New Results on Periodic Sequences With Large 
  
 -Error Linear Complexity
 
        
            Author : 
Hu, Honggang ; Gong, Guang ; Feng, Dengguo
         
        
            Author_Institution : 
State Key Lab. of Inf. Security, Chinese Acad. of Sci., Beijing, China
         
        
        
        
        
        
        
            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 By considering the orders of the divisors of xN-1 over BBF q, we obtain three main results which hold for much larger k than those of Niederreiter : 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. Besides, we also construct some periodic sequences with low correlation and large k -error linear complexity.
         
        
            Keywords : 
computational complexity; large k-error linear complexity; maximal linear complexity; periodic sequences; Cryptography; Entropy; Galois fields; Hamming distance; Helium; Information security; Information theory; Laboratories; Linear feedback shift registers; Random sequences; $k$-error linear complexity; correlation; cyclotomy; entropy function; linear complexity; periodic sequence;
         
        
        
            Journal_Title : 
Information Theory, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TIT.2009.2027566