The probabilistic theory of linear complexity
Lecture Notes in Computer Science on Advances in Cryptology-EUROCRYPT'88
Analysis of the Berlekamp-Massey linear feedback shift-register synthesis algorithm
IBM Journal of Research and Development
Sequences with almost perfect linear complexity profile
EUROCRYPT'87 Proceedings of the 6th annual international conference on Theory and application of cryptographic techniques
Shift-register synthesis and BCH decoding
IEEE Transactions on Information Theory
Counting Functions and Expected Values for the k-Error Linear Complexity
Finite Fields and Their Applications
Enumeration results on linear complexity profiles and lattice profiles
Journal of Complexity
On the counting function of the lattice profile of periodic sequences
Journal of Complexity
Enumeration results on linear complexity profiles and lattice profiles
Journal of Complexity
On the structure of inversive pseudorandom number generators
AAECC'07 Proceedings of the 17th international conference on Applied algebra, algebraic algorithms and error-correcting codes
Recent results on recursive nonlinear pseudorandom number generators
SETA'10 Proceedings of the 6th international conference on Sequences and their applications
Structure of pseudorandom numbers derived from fermat quotients
WAIFI'10 Proceedings of the Third international conference on Arithmetic of finite fields
Hi-index | 0.00 |
Recently, Dorfer and Winterhof introduced and analyzed a lattice test for sequences of length n over a finite field. We determine the number of sequences @h of length n with given largest dimension S"n(@h)=S for passing this test. From this result we derive an exact formula for the expected value of S"n(@h). For the binary case we characterize the (infinite) sequences @h with maximal possible S"n(@h) for all n.