eprintid: 1954
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/19/54
datestamp: 2023-11-09 15:50:07
lastmod: 2023-11-09 15:50:07
status_changed: 2023-11-09 15:41:42
type: conference_item
metadata_visibility: show
creators_name: Karim, S.A.A.
creators_name: Pang, K.V.
title: Data smoothing using Gaussian scale-space and discrete wavelet transform
ispublished: pub
keywords: Data smoothing; DWT; Financial data; Gaussian functions; Gaussians, Discrete wavelet transforms; Electroencephalography; Gaussian distribution, Metadata
note: cited By 5; Conference of 1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 ; Conference Date: 21 June 2011 Through 22 June 2011; Conference Code:85983
abstract: The Gaussian scale-space is widely being used in human vision problem. It can be used to smooth the data by filtering off low frequency of the signal. In this paper we will discuss the applications of Gaussian scale-space in data smoothing problem arising in financial (Kuala Lumpur Composite Index (KLCI)) and electroencephalogram (EEG) problem. We also show the comparison between Gaussian scale-space and Discrete Wavelet Transform (DWT) for data smoothing. Overall results indicated that Gaussian scale-space gave a good result. © 2011 IEEE.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051639844&doi=10.1109%2fINECCE.2011.5953904&partnerID=40&md5=236dff813feed6019aab29270248fa99
id_number: 10.1109/INECCE.2011.5953904
full_text_status: none
publication: InECCE 2011 - International Conference on Electrical, Control and Computer Engineering
place_of_pub: Kuantan
pagerange: 344-348
refereed: TRUE
isbn: 9781612842288
citation:   Karim, S.A.A. and Pang, K.V.  (2011) Data smoothing using Gaussian scale-space and discrete wavelet transform.  In: UNSPECIFIED.