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 Figure 5 shows The gains of the frequency responses at 8.5 Hz and 0.1 Hz for each wavelet The wavelet gain at 8.5 Hz should be below -20 dB

Material and Methods The selected wavelets had almost the same frequency at a 0-dB gain The gain of the frequency responses at 0.1 Hz should be as low as possible to remove low-frequency drift To make the final decision, the frequency responses of WLD for the two wavelets were calculated, respectively

Material and Methods Figure 6 shows The magnitudes of their frequency responses and that for the ODF Daubechies wavelet with an order of 7 between 8.8 Hz and 10.8 Hz were larger than -20dB, so this wavelet was rejected The reverse biorthogonal wavelet with an order of 6.8 was chosen for the WLD of MMN