Abstract
Wavelet method is used to de-noise life signal, and according to relevant theory,Through large amount of simulation experiments, contrast the results of using different wavelet to break down life signal, get a conclusion which is bior5.5 wavelet is the best wavelet, and according to the signal velocity and the frequency range of life signal, ascertain that wavelet is broken down 5 layer. And bior5.5 wavelet and fixed threshold method is selected to de-noise life signal. Finally, through experiments, simulate the effect of wavelet noise reduction, simulation results show that, wavelet method can effectively remove noise in life signal, meanwhile keep the details of life signal characteristics.
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Xiao-jun, Z., Chuan, J. (2012). Life Signal Noise Reduction on Wavelet Theory. In: Zhao, M., Sha, J. (eds) Communications and Information Processing. Communications in Computer and Information Science, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31965-5_65
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DOI: https://doi.org/10.1007/978-3-642-31965-5_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31964-8
Online ISBN: 978-3-642-31965-5
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