Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/3374
Title: Efficient 2D Processing of 1D Sensor Signals
Authors: Gerek, Ömer Nehir
Keywords: 2D rendition
Efficient sensor data processing
Signal modeling
Data handling
Electric lines
Renewable energy resources
Signal processing
2d rendition
Cyclic behavior
Efficient sensor data processing
Energy systems
Renewable energies
Sensor data processing
Sensor output
Sensor signals
Signal models
Signal-processing
Intelligent systems
Issue Date: 2022
Publisher: Springer Science and Business Media Deutschland GmbH
Abstract: Signal processing had been the flagship technology behind the intelligent systems for applications ranging from multimedia to biomedicine, from renewable energy systems to telecommunications. It is customary to apply processing tools dedicated for the natural sensor output. For instance, audio signals are processed with 1D techniques, whereas captured images are processed via 2D methods. On the other hand, many 1D sensor outputs exhibit an intrinsically cyclic behavior. Solar radiation recordings, captured line voltage values, cardiac potential, electric consumption, etc. are all fine examples to 1D signals which already have the quasi-periodicity. Recent research efforts of the authors have shown that the cyclic behavior of such signals may help a 2D rendition of the same information, provided that the natural period is accurately determined and assigned as the “width” of the 2D matrix. Experimental results indicate improved efficiency of 2D representation in terms of modelling, prediction and error detection. This work aims to provide a mathematical reasoning to the efficiency of such 2D rendition over 1D processing in terms of reduced autocorrelation orders. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
Description: 7th EAI International Conference on Science and Technologies for Smart Cities, SmartCity360° 2021 -- 2 December 2021 through 4 December 2021 -- -- 279449
URI: https://doi.org/10.1007/978-3-031-06371-8_42
https://hdl.handle.net/20.500.13087/3374
ISBN: 9783031063701
ISSN: 1867-8211
Appears in Collections:Elektrik-Elektronik Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu

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