The Open Automation and Control Systems Journal
2015, 7 : 502-509Published online 2015 June 26. DOI: 10.2174/1874444301507010502
Publisher ID: TOAUTOCJ-7-502
Seismic Signal Analysis and System Development Based on Wavelet Analysis
Department of Computer
Science and Technology, China University of Petroleum, Beijing, China.
ABSTRACT
The Fourier Analysis has two distinguished characteristics: 1) has higher frequency resolution and lower temporary resolution in the low frequency part, and 2) has the opposite characteristics in the high frequency part, so it has a strong ability showing local characteristics of signal. The paper takes use of wavelet decomposition and reconstruction function to decompose and reconstruct seismic signal, then extract local characteristics as we want. In order to simplify the process at the same time, we use MATLAB as our analysis tool and realize the result visualization display base on the C# language programming. The result shows that this is not a new way but a very efficient way in the process of seismic signal analysis.