Title :
On the linear complexity of feedback registers
Author :
Chan, Agnes Hui ; Goresky, Mark ; Klapper, Andrew
Author_Institution :
Coll. of Comput. Sci., Northeastern Univ., Boston, MA, USA
fDate :
5/1/1990 12:00:00 AM
Abstract :
Sequences generated by arbitrary feedback registers (not necessarily feedback shift registers) with arbitrary feedforward functions are studied. The definition of linear complexity of a sequence is generalized to the notions of strong and weak linear complexity of feedback registers. A technique for finding upper bounds for the strong linear complexities of such registers is developed. This technique is applied to several classes of registers. It is shown that a feedback shift register in which the feedback function is of the form x 1+h(x2, . . . , xn ) can generate long periodic sequences with high linear complexities only if its linear and quadratic terms have certain specific forms
Keywords :
binary sequences; feedback; arbitrary feedforward functions; feedback registers; feedback shift register; linear complexity; long periodic sequences; upper bounds; Binary sequences; Closed-form solution; Distributed computing; Error correction codes; Feedback; Gold; Graphics; Hamming weight; Polynomials; Registers;
Journal_Title :
Information Theory, IEEE Transactions on