Linear complexity of periodic sequences: A general theory

49Citations
Citations of this article
40Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The linear complexity of an N-periodic sequence with components in a field of characteristic p, where N = np ν and gcd(n, p) = 1, is characterized in terms of the n th roots of unity and their multiplicities as zeroes of the polynomial whose cofficients are the first N digits of the sequence. Hasse derivatives are then introduced to quantify these multiplicities and to define a new generalized discrete Fourier transform that can be applied to sequences of arbitrary lengthN with components in a field of characteristic p, regardless of whether or not gcd(N, p) = 1. This generalized discrete Fourier transform is used to give a simple proof of the validity of the well-known Games-Chan algorithm for finding the linear complexity of an N-periodic binary sequence with N = 2ν and to generalize this algorithm to apply to N-periodic sequences with components in a finite field of characteristic p when N = p ν. It is also shown how to use this new transform to study the linear complexity of Hadamard (i.e., component-wise) products of sequences.

Cite

CITATION STYLE

APA

Massey, J. L., & Serconek, S. (1996). Linear complexity of periodic sequences: A general theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1109, pp. 358–371). Springer Verlag. https://doi.org/10.1007/3-540-68697-5_27

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free