CRT and Fixed Patterns in Combinatorial Sequences
Muhammad Asad Khan, Amir Ali Khan, Fauzan Mirza

TL;DR
This paper introduces a CRT-based framework for analyzing combinatorial sequence generators, revealing fixed patterns and cyclic structures in LFSR sequences, and offers a new method for computing DFT spectra in finite fields.
Contribution
It presents a novel CRT-based approach for structural analysis of LFSR sequences and a method for direct DFT spectral computation in higher finite fields.
Findings
CRT reveals fixed patterns in LFSR sequences
New method for DFT spectral computation in finite fields
Analysis demonstrated on combiner generators
Abstract
In this paper, new context of Chinese Remainder Theorem (CRT) based analysis of combinatorial sequence generators has been presented. CRT is exploited to establish fixed patterns in LFSR sequences and underlying cyclic structures of finite fields. New methodology of direct computations of DFT spectral points in higher finite fields from known DFT spectra points of smaller constituent fields is also introduced. Novel approach of CRT based structural analysis of LFSR based combinatorial sequence is given both in time and frequency domain. The proposed approach is demonstrated on some examples of combiner generators and is scalable to general configuration of combiner generators.
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Taxonomy
TopicsCoding theory and cryptography · Cellular Automata and Applications · DNA and Biological Computing
