Study on wave filtering of photoacoustic spectrometry detecting signal based on Mallat algorithm

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Abstract

According to the concept of wavelet, the thesis analyse the peculiarity of wavelet, and applies Mallat algorithm of wavelet method to treat the photoacoustic signals of water content in oil. Mallat algorithm is a kind of multi-resolution wavelet transform.In large scale space roughly corresponds to the signal profile,in small scale space roughly corresponds to the signal details. This algorithm is especially suitable for processing seismic signals, photoacoustic signals, voice signals and other non-stationary signal, and the ideal effects of noise removal and filtering have been achieved for the photoacoustic signals through this method. © 2011 Springer-Verlag Berlin Heidelberg.

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Yu, Y., Wu, S., Zhang, G., & Sun, P. (2011). Study on wave filtering of photoacoustic spectrometry detecting signal based on Mallat algorithm. In Communications in Computer and Information Science (Vol. 214 CCIS, pp. 347–352). https://doi.org/10.1007/978-3-642-23321-0_54

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