Title :
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
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;
Conference_Titel :
Electrical, Control and Computer Engineering (INECCE), 2011 International Conference on
Conference_Location :
Pahang
Print_ISBN :
978-1-61284-229-5
DOI :
10.1109/INECCE.2011.5953904
