Data smoothing using Gaussian scale-space and Discrete Wavelet Transform

Author

Karim, Samsul Ariffin Abdul ; Pang, Kong Voon

Author_Institution

Fundamental & Appl. Sci. Dept., Univ. Teknol. Petronas, Tronoh, Malaysia

fYear

2011

fDate

21-22 June 2011

Firstpage

344

Lastpage

348

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.

Keywords

computer vision; data handling; discrete wavelet transforms; electroencephalography; financial data processing; medical computing; smoothing methods; EEG; Gaussian scale-space; Kuala Lumpur composite index; computer vision problems; data smoothing; data smoothing problem; discrete wavelet transform; electroencephalogram problem; financial problem; human vision problem; Discrete wavelet transforms; Electroencephalography; Multiresolution analysis; Smoothing methods; Time series analysis; DWT; Gaussian function; Gaussian scale-space; data smoothing; financial data;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Control and Computer Engineering (INECCE), 2011 International Conference on

Conference_Location

Pahang

Print_ISBN

978-1-61284-229-5

Type

conf

DOI

10.1109/INECCE.2011.5953904

Filename

5953904