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Frequency-response-based Wavelet
Decomposition for Extracting
Children’s Mismatch Negativity
Elicited by Uninterrupted Sound
Department of Mathematical Information Technology ,University of Jyväskylä,Jyväskylä 40014,Finland
Center for Intelligent Maintenance Systems,University of Cincinnati,OH 45221,USA
School of Psychology, Beijing Normal University,Beijing 100875,China
Department of Psychology,University of Jyväskylä, Jyväskylä 40014,Finland
Received 6 Apr 2011; Accepted 14 Sep 2011; doi: 10.5405/jmbe.908
Chairman:Hung-Chi Yang
Presenter: Yu-Kai Wang
Advisor: Dr. Yeou-Jiunn Chen
Date: 2013.3.6
Outline
Introduction
Purposes
Materials and Methods
Results
Conclusions
Results
Results show
That the proposed WLD performed differently with the ODF,
the DW, or WLD-Coif in extracting MMN
Conclusions
Regarding the application to mismatch negativity (MMN)
The frequency response of WLD should
Match the properties of MMN in time and frequency domains
Found that WLD with a reverse biorthogonal wavelet with
an order of 6.8
Can contribute better properties of MMN, meeting its
theoretical expectations
Conclusions
This study provides a novel procedure
To design an effective wavelet filter for reducing noise
Interference and sources of no interest in the research of eventrelated potentials
Found that the frequency response of a wavelet filter
Maybe affected by the number of samples of the filtered signal
The sampling frequency
The type of wavelets
The level of decomposition