An Algorithm for Computing m-Tight Error Linear Complexity of Sequences over GF(pm) with Period pm

Abstract

The linear complexity (LC) of a sequence has been used as a convenient measure of the randomness of a sequence. Based on the theories of linear complexity, k-error linear complexity, the minimum error and the k-error linear complexity profile, the notion of m-tight error linear complexity is presented. An efficient algorithm for computing m-tight error linear complexity is derived from the algorithm for computing k-error linear complexity of sequences over GF(pm) with period pn, where p is a prime. The validity of the algorithm is shown. The algorithm is also realized with C language, and an example is presented to illustrate the algorithm.

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