yang xing-lin, wang hua-cen, xu tie-zheng, et al. Methods of signal processing in LIA based on wavelet transform[J]. High Power Laser and Particle Beams, 2006, 18.
Citation:
yang xing-lin, wang hua-cen, xu tie-zheng, et al. Methods of signal processing in LIA based on wavelet transform[J]. High Power Laser and Particle Beams, 2006, 18.
yang xing-lin, wang hua-cen, xu tie-zheng, et al. Methods of signal processing in LIA based on wavelet transform[J]. High Power Laser and Particle Beams, 2006, 18.
Citation:
yang xing-lin, wang hua-cen, xu tie-zheng, et al. Methods of signal processing in LIA based on wavelet transform[J]. High Power Laser and Particle Beams, 2006, 18.
According to the time-frequency localization properties of wavelet transform, the application methods in pulse signal′s de-noising and singularity detection show good performance in signal processing of high current LIA. A method to extract characteristic parameters from energy on the coefficients of wavelet packet transform of Dragon-Ⅰ’s waveforms is presented. Parameters, which are extracted from the relevant frequency bands and are used as vector, represent jointly temporal position and frequency variation of waveform. Such characteristic vector can be applied to further signal processing and fault diagnosis of high current LIA.
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