Comparative Analysis of Knuth and Babkin’s “Zero-Sum” Methods for Suppressing Individual Spectral Components
Vjacheslav A. Zhuravlev, Boris Ya. Ryako · 2024
This article is about a comparative analysis of two algorithms designed for generating zero-sum sequences, which have unique applications in signal processing, cryptography, and artificial intelligence. The research focuses on the estimation of the performance and efficiency of these algorithms under different conditions. Along with this comparison, this article aims to expand our understanding of the theoretical basics of zero-sum sequence generation. The practical application of this research is to optimize these algorithms for real-world applications, so, their efficiency in a practical way will be improved. Also, another purpose of this research is to find advantages and disadvantages in each algorithm, providing valuable information for further exploration in this important area of science and technology. By finding more information from this comparative efficiency of these algorithms, this work helps to increase knowledge in the area of development of more effective algorithms for zero-sum sequence generation. Such results can have a lot of potential applications in several areas of application, for example, communication systems and data security.