English

Iterative Method for Generating Correlated Binary Sequences

Data Analysis, Statistics and Probability 2015-06-19 v1 Disordered Systems and Neural Networks Statistical Mechanics

Abstract

We propose a new efficient iterative method for generating random correlated binary sequences with prescribed correlation function. The method is based on consecutive linear modulations of initially uncorrelated sequence into a correlated one. Each step of modulation increases the correlations until the desired level has been reached. Robustness and efficiency for the proposed algorithm are tested by generating sequences with inverse power-law correlations. The substantial increase in the strength of correlation in the iterative method with respect to the single-step filtering generation is shown for all studied correlation functions. Our results can be used for design of disordered superlattices, waveguides, and surfaces with selective transport properties.

Keywords

Cite

@article{arxiv.1406.2656,
  title  = {Iterative Method for Generating Correlated Binary Sequences},
  author = {O. V. Usatenko and S. S. Melnik and S. S. Apostolov and N. M. Makarov and A. A. Krokhin},
  journal= {arXiv preprint arXiv:1406.2656},
  year   = {2015}
}

Comments

9 pages, 4 figures

R2 v1 2026-06-22T04:35:22.453Z