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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