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

Authors

  • Dan Noje University of Oradea Primus Technologies SRL
  • Radu Tarca University of Oradea
  • Ioan Dzitac Aurel Vlaicu University of Arad Agora University of Oradea
  • Nicolae Pop Institute of Solid Mechanics of the Romanian Academy

Keywords:

IoT devices, signal processing, Shepard local approximation operators, local approximation operators, approximation algorithms, Riesz MV-algebras, vectorial MV-algebras

Abstract

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.

References

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Noje, D.; Dzitac I.; Pop N.; Tarca, R. (2019), IoT devices signals processing based on Shepard local approximation operators defined in Riesz MV-algebras, Informatica, submitted for publication 2018.

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Published

2019-02-14

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