Multilayer composite target penetration acceleration signal processing by Matlab
Feng Wen, Zhen Zhou, Qiang Wang · 2010
Aiming at the data collected by the solid-state recorder during the bombard experiment, Matlab was used to process and analyze. Through the Fourier transform, Wigner- Ville analysis, wavelet analysis, and comparison, we can find that wavelet transform is a signal analysis in time and scale, which have the characteristic of multi-resolution analysis and the ability of representing local signal characteristics both in time and frequency. Wavelet transform is suitable for detecting transient transformation of the normal signal. Wavelet theory was played in decomposing and analyzing the data in different frequency bands. The results show that wavelet analysis is effective for analyzing the complex target recognition data and instructive for project practice.