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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
Material and Methods
2.4Wavelet decomposition
The mathematical equations of the reverse biorthogonal
wavelet N were derived by Daubechies
Material and Methods
2.4.1 Determination of the number of levels for
decomposition In WLD
An optimal decomposition with L levels is allowed under the
condition:
N 2
L
Where N is the number of the samples of the decomposed
signal
L7
Duration is less than one second
In our study, the recordings had 130 samples (650 ms)
The signal could be decomposed into seven levels
Material and Methods
The roughly defined
Bandwidth at a given level in WLD
Related to the sampling frequency and the corresponding
frequency levels as:
B F / 2l 1
Where l 1,..., L
The sampling frequency in the experiment was set to
200 Hz for the data recordings