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Raman spectrum is usually so weak that the noise usually distorts the interesting Raman bands. Especially, when the sample is focus, the strong fluorescence background often completely dominates Raman peaks. In this case, it is vital to remove fluorescence background for analyzing of Raman spectrum. Wavelet transform (WT) has proved to be a high-performance signal processing tool, and very efficient...
Wavelet transform (WT) was applied to de-noise Raman spectra. A simulated noisy Raman spectrum and the experimental Raman spectrum of benzene were de-noised using the level thresholding method and the interval thresholding method. The de-noising performances of the two methods were compared. The results showed that the interval thresholding method is more satisfactory than the level thresholding method,...
A rotating arc sensor may be used to pick up the deviation and oblique angle information of the welding seam, the relationship between deviation, oblique angle, initial phase and tracing angle are studied, based on the first harmonic coefficients of the welding torch height model with deviation and oblique angle included. Through the use of filtering method based on two dimensions, the improvement...
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