Recognition and classification of nonlinear chaotic signals
| العنوان: | Recognition and classification of nonlinear chaotic signals |
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| المؤلفون: | Jon Wright, R. L. Schult |
| المصدر: | Chaos: An Interdisciplinary Journal of Nonlinear Science. 3:295-304 |
| بيانات النشر: | AIP Publishing, 1993. |
| سنة النشر: | 1993 |
| مصطلحات موضوعية: | Applied Mathematics, Mathematical analysis, Detector, Chaotic, General Physics and Astronomy, Statistical and Nonlinear Physics, Nonlinear system, Distribution function, Factorization, Chaotic systems, Invariant (mathematics), Time series, Algorithm, Mathematical Physics, Mathematics |
| الوصف: | We propose a method of identifying and classifying signals generated by nonlinear, chaotic processes even when there are other signals and noise present. The method compares probability densities constructed from signals with a library of known densities. We note that there are many different invariant densities that can be constructed and that the characteristic functional of these densities factorizes into a product of characteristic functionals. Each member of the product is the characteristic functional of one of the signals present. This factorization provides a means of identifying the presence of a particular signal. Simple examples are given to demonstrate the method. |
| تدمد: | 1089-7682 1054-1500 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a16c7bc4c20977f66f029cda590670bTest https://doi.org/10.1063/1.165938Test |
| رقم الانضمام: | edsair.doi.dedup.....9a16c7bc4c20977f66f029cda590670b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10897682 10541500 |
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