IoT Devices Signals Processing based on Multi-dimensional Shepard Local Approximation Operators in Riesz MV-algebras
In this article we continue the study started in [8] to use Riesz MValgebras for IoT devices signals processing. The Shepard local approximation operators introduced in [8] were defines such that to approximate single variable functions. In real industrial usage, the signals coming from IoT devices...
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| Veröffentlicht in: | International Journal of Computers Communications & Control 2019-02, Vol.14 (1), p.56-62 |
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| container_title | International Journal of Computers Communications & Control |
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| creator | Noje, Dan Tarca, Radu Dzitac, Ioan Pop, Nicolae |
| description | In this article we continue the study started in [8] to use Riesz MValgebras for IoT devices signals processing. The Shepard local approximation operators introduced in [8] were defines such that to approximate single variable functions. In real industrial usage, the signals coming from IoT devices may be influenced by mode than a parameter, and thus we introduce generalized Shepard local approximation operators that can approximate multi-dimensional functions and some numerical experiments are considered. |
| doi_str_mv | 10.15837/ijccc.2019.1.3490 |
| format | Article |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Approximation Industrial applications Operators Signal processing |
| title | IoT Devices Signals Processing based on Multi-dimensional Shepard Local Approximation Operators in Riesz MV-algebras |
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