Iterative method for generating correlated binary sequences
| Autor: | S. S. Apostolov, S.S. Melnik, O. V. Usatenko, Arkadii Krokhin, N. M. Makarov |
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| Rok vydání: | 2014 |
| Předmět: |
Sequence
Statistical Mechanics (cond-mat.stat-mech) Iterative method FOS: Physical sciences Binary number Inverse Disordered Systems and Neural Networks (cond-mat.dis-nn) Condensed Matter - Disordered Systems and Neural Networks Combinatorics Correlation Correlation function (statistical mechanics) Robustness (computer science) Physics - Data Analysis Statistics and Probability Modulation (music) Algorithm Data Analysis Statistics and Probability (physics.data-an) Condensed Matter - Statistical Mechanics Mathematics |
| Zdroj: | Physical Review E. 90 |
| ISSN: | 1550-2376 1539-3755 |
| DOI: | 10.1103/physreve.90.053305 |
| Popis: | 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. 9 pages, 4 figures |
| Databáze: | OpenAIRE |
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