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Extended Upscale and Downscale Representation with Cascade Arrangement

Doan, Quang Manh and Dinh, Tran Hiep and Nguyen, Linh Trung and Nguyen N, Diep and Singh, Avinash Kumar and Lin, Chin-Teng Extended Upscale and Downscale Representation with Cascade Arrangement. To appear in the 2023 IEEE Statistical Signal Processing Workshop (SSP) proceedings . (Submitted)

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Smoothing filters are widely used in EEG signal processing for noise removal while preserving important features. Unlike common approaches in the time domain, a recent effective algorithm using the Upscale and Downscale Representation (UDR) technique has been introduced to process the signal in the image domain. The idea of UDR is to visualize the input with an appropriate line width, convert it to a binary image, and then smooth it by skeletonizing the signal object to a unit width and projecting it back to the time domain. We propose in this paper a cascaded UDR (CUDR) where the interested signal is filtered twice. CUDR’s performance is verified on simulated data with added white Gaussian noise and compared with the cascaded arrangement of some conventional techniques. Experimental results have demonstrated the outperformance of CUDR in terms of the fitting error when dealing with noisy signals, especially at a low signal-to-noise ratio.

Item Type: Article
Subjects: Electronics and Communications > Electronics and Computer Engineering
Information Technology (IT)
ISI/Scopus indexed conference
Divisions: Advanced Insitute of Engineering and Technology (AVITECH)
Faculty of Engineering Mechanics and Automation (FEMA)
Depositing User: Tran Hiep Dinh
Date Deposited: 15 Jun 2023 04:10
Last Modified: 15 Jun 2023 04:10

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