Hussain, Tariq, Deng, Tong ORCID: https://orcid.org/0000-0003-4117-4317, Bradley, Michael, Armour-Chelu, David, Pillai, John, Saadat, Salman and Kaialy, Waseem (2023) Noise reduction by using wavelet transform in charge signal acquired from an electrostatic inductive sensor. Measurement: Sensors, 27:100757. pp. 1-4. ISSN 2665-9174 (Online) (doi:10.1016/j.measen.2023.100757)

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Abstract

The presence of noise in raw signal causes a continuous background signal which sometimes completely takes over the signal from those particles containing low-level charges and as a result, the ability of the sensor to detect charge distribution gets limited. This paper highlights for the first time the use of wavelet transforms to denoise the charge signal to improve the SNR of a charge signal which contains the transient peaks generated as an abrupt change and contains the information of interest. In comparison to the traditional noise reduction method Wavelet transform successfully isolate and minimize the noisy and preserves the shape and quality of the signal while achieving improved SNR.

Item Type:	Article
Uncontrolled Keywords:	electrostatic inductive sensor; noise reduction; charge signal; wavelet transform
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Last Modified:	05 Jul 2023 11:14
URI:	http://gala.gre.ac.uk/id/eprint/42493

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