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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