Literature DB >> 25493902

Iterative method for generating correlated binary sequences.

O V Usatenko1, S S Melnik1, S S Apostolov1, N M Makarov2, A A Krokhin3.   

Abstract

We propose an efficient iterative method for generating random correlated binary sequences with a prescribed correlation function. The method is based on consecutive linear modulations of an initially uncorrelated sequence into a correlated one. Each step of modulation increases the correlations until the desired level has been reached. The robustness and efficiency of 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 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.

Entities:  

Year:  2014        PMID: 25493902     DOI: 10.1103/PhysRevE.90.053305

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Magnitude and sign of long-range correlated time series: Decomposition and surrogate signal generation.

Authors:  Manuel Gómez-Extremera; Pedro Carpena; Plamen Ch Ivanov; Pedro A Bernaola-Galván
Journal:  Phys Rev E       Date:  2016-04-04       Impact factor: 2.529

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.