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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
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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 YangPresenter: Yu-Kai Wang Advisor: Dr. Yeou-Jiunn ChenDate: 2013.3.6
Outline • Introduction • Purposes • Materials and Methods • Results • Conclusions
Material and Methods • 2.4.2 Selection of wavelet and number of levels for reconstruction • The procedure includes four steps: 1)The unit impulse is decomposed into a few levels by a wavelet 2)Each level is used for the reconstruction 3)The Fourier transform of the reconstructed signal is performed • To obtain the frequency responses at each level 4) The appropriate wavelet and proper levels for the reconstruction of the desired signal
Material and Methods • As indicated in Table 1 • The frequency ranges for ‘D5’ and ‘D6’ best matched the optimal frequency range of MMN • Hence, the coefficients for ‘D5’ and ‘D6’ should be chosen for reconstructing the desired MMN
Material and Methods • The bandwidth at each level is shown in Table 1. optimal
