IoT Devices Signals Processing based on Multi-dimensional Shepard Local Approximation Operators in Riesz MV-algebras | Zendy

Dan Noje | Zendy; Radu Ţarcă | Zendy; Ioan Dziţac | Zendy; Nicolae Pop | Zendy

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IoT Devices Signals Processing based on Multi-dimensional Shepard Local Approximation Operators in Riesz MV-algebras

Author(s) -

Dan Noje,

Radu Ţarcă,

Ioan Dziţac,

Nicolae Pop

Publication year - 2019

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.422

H-Index - 33

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2019.1.3490

Subject(s) - computer science , mode (computer interface) , signal processing , operator theory , mathematics , pure mathematics , telecommunications , radar , operating system

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.

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