A method for detection of repetitive local effects (RLEs) in discrete recursive processes
One-dimensional discrete processes, which can be measured repetitively for discrete values of arguments after discrete periodic or non periodic intervals of time, are discussed in this study. These processes can be under effect of different perturbations with different frequency, amplitudes, with a...
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| Format: | Article |
| Language: | English |
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Wiley
2000-01-01
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| Series: | Discrete Dynamics in Nature and Society |
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| Online Access: | http://dx.doi.org/10.1155/S1026022600000480 |
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| author | E. Kelman M. Shoshany |
| author_facet | E. Kelman M. Shoshany |
| author_sort | E. Kelman |
| collection | DOAJ |
| description | One-dimensional discrete processes, which can be measured repetitively for discrete values of arguments after discrete periodic or non periodic intervals of time, are discussed in this study. These processes can be under effect of different perturbations
with different frequency, amplitudes, with accidental measurement error, etc. The problem investigated, is whether repetitive, local, relatively small effects (RLEs) can be extracted from this data. A simple method for such effects detection is proposed. A model for the simulation of discrete processes with local effects is introduced. Experiments with the method indicate that it is stable in detecting local effects and can
be useful for many applications. |
| format | Article |
| id | doaj-art-cf0755fac66a4f42871c7ec43626e7d2 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2000-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-cf0755fac66a4f42871c7ec43626e7d22025-02-03T01:10:44ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2000-01-015213914810.1155/S1026022600000480A method for detection of repetitive local effects (RLEs) in discrete recursive processesE. Kelman0M. Shoshany1Department of Geography, Bar Ilan University, Ramat-Gan, 52900, IsraelDepartment of Geography, Bar Ilan University, Ramat-Gan, 52900, IsraelOne-dimensional discrete processes, which can be measured repetitively for discrete values of arguments after discrete periodic or non periodic intervals of time, are discussed in this study. These processes can be under effect of different perturbations with different frequency, amplitudes, with accidental measurement error, etc. The problem investigated, is whether repetitive, local, relatively small effects (RLEs) can be extracted from this data. A simple method for such effects detection is proposed. A model for the simulation of discrete processes with local effects is introduced. Experiments with the method indicate that it is stable in detecting local effects and can be useful for many applications.http://dx.doi.org/10.1155/S1026022600000480Discrete time series; Filtering; Patterns recognition. |
| spellingShingle | E. Kelman M. Shoshany A method for detection of repetitive local effects (RLEs) in discrete recursive processes Discrete Dynamics in Nature and Society Discrete time series; Filtering; Patterns recognition. |
| title | A method for detection of repetitive local effects (RLEs) in discrete recursive processes |
| title_full | A method for detection of repetitive local effects (RLEs) in discrete recursive processes |
| title_fullStr | A method for detection of repetitive local effects (RLEs) in discrete recursive processes |
| title_full_unstemmed | A method for detection of repetitive local effects (RLEs) in discrete recursive processes |
| title_short | A method for detection of repetitive local effects (RLEs) in discrete recursive processes |
| title_sort | method for detection of repetitive local effects rles in discrete recursive processes |
| topic | Discrete time series; Filtering; Patterns recognition. |
| url | http://dx.doi.org/10.1155/S1026022600000480 |
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