relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4817/
title: Extended Upscale and Downscale Representation with Cascade Arrangement
creator: Doan, Quang Manh
creator: Dinh, Tran Hiep
creator: Nguyen, Linh Trung
creator: Nguyen N, Diep
creator: Singh, Avinash Kumar
creator: Lin, Chin-Teng
subject: Electronics and Computer Engineering
subject: Information Technology (IT)
subject: ISI/Scopus indexed conference
description: 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.
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4817/1/SSP2023_H_preprint.pdf
identifier:   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)