АДАПТИВНІ МОДЕЛІ АПРОКСИМАЦІЇ СИГНАЛІВ У СТРУКТУРНО-ПАРАМЕТРИЧНИХ КЛАСАХ ФУНКЦІЙ
Adaptive signals approximation models in structural-parametric classes of functions are considered. Approximation is made by using an iterative procedure in the form of an ordinary differential equations system. In order to confirm the effectiveness of the proposed approach, software for simulated e...
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| Date: | 2011 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2011
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| Online Access: | https://jais.net.ua/index.php/files/article/view/554 |
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| Journal Title: | Problems of Control and Informatics |
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Problems of Control and Informatics| Summary: | Adaptive signals approximation models in structural-parametric classes of functions are considered. Approximation is made by using an iterative procedure in the form of an ordinary differential equations system. In order to confirm the effectiveness of the proposed approach, software for simulated examples was developed and real prob-lems testing was performed. |
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