Multilayer Composite Target Penetration Acceleration Signal Processing by Matlab
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.
wavelet transformation matlab penetration data analysis signal processing
Feng Wen Zhen Zhou Qiang Wang
National Key Laboratory of Electronic Measurement Technology North University of China Taiyuan, Shan National Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education Taiy
国际会议
太原
英文
522-525
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）