Application of wavelet in the spectrum signal processing of microspectrometer
Wen Pei Zhi · Optics and Precision Engineering · 2002
This article analyzes the properties of the signal obtained by microspectrometer and studies the influences caused by a wavelet transform on the Gauss peak with a different half_width . The results show that when the decomposition time is 8 by using the Mallat method, the high frequency noise and low frequency background can be reduced by letting the decomposition factors a8, d1 and d2 be zeros when reconstructing the spectrum signal.