A Performance Evaluation of Time-Variant Signal Analysis Suitable for IoT

Signal analysis has been gathering a wide spectrum of attention along with the expansion of the Internet of Things (IoT). Particularly, the signal analysis for time-variant signals is important. Main demands for such analysis include the efficiency in its computation and the frequency- and time-reso...

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Bibliographic Details
Published in:	2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) pp. 536 - 537
Main Authors:	Bando, Nobuyuki, Kamiya, Yukihiro
Format:	Conference Proceeding
Language:	English
Published:	IEEE 12-10-2021
Subjects:	ARS Computational efficiency Computer simulation Fourier transforms Internet of Things IoT Performance evaluation Signal analysis Time-frequency analysis Time-variant signals Wavelet transforms
Online Access:	Get full text
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Summary:	Signal analysis has been gathering a wide spectrum of attention along with the expansion of the Internet of Things (IoT). Particularly, the signal analysis for time-variant signals is important. Main demands for such analysis include the efficiency in its computation and the frequency- and time-resolutions. In this paper, a new version of ARS is proposed to cope with the time-variant signals. ARS has been known as a method for signal analysis to meet the above-mentioned requirements for IoT scenarios. The performance is investigated through computer simulations comparing it with the short-time Fourier transform (STFT) as well as the wavelet transform.
DOI:	10.1109/GCCE53005.2021.9621821