Seismic Signal Wavelet-Packet Denoising and Fast Spectrum Analysis


Article Preview

Noise mixed in the recorded seismic signals often affects the data analysis result. To solve this problem, wavelet packet decomposition technology is selected to reduce the noise. The principle, denoising steps and algorithm of wavelet packet decomposition technology are introduced with its effectiveness and reliability verified by computer simulation. Meanwhile, split-radix FFT algorithm is used to rapidly perform spectral analysis for seismic signals. Compared with radix-2 FFT and radix-4 FFT, split-radix algorithm can significantly reduce calculation amount and improve the speed of data analysis. Field tests showed that wavelet packet denoising technology and split-radix FFT algorithm have good effect.



Edited by:

Mohamed Othman




S. C. Liu et al., "Seismic Signal Wavelet-Packet Denoising and Fast Spectrum Analysis", Applied Mechanics and Materials, Vols. 229-231, pp. 1772-1776, 2012

Online since:

November 2012




[1] RenXueping, Ma Wensheng, XiaoLongsong. Car engine noise reduction method based on wavelet packet transform [J]. Noise and Vibration Control, 2008, (6) : 28-31.

[2] ZengXianwei, ZhaoWeiming, LiHongting. Use wavelet packet transform spectrum to identify the earthquake and blastinginNingxia and its adjacent areas [J]. Earthquake Research, 2010, 33 (3).

[3] HU Chang, Li Guohua, Zhou Tao. Of MATLAB 7. x systems analysis and design - Wavelet Analysis (third edition) [M]. Xi'an: Xidian University Press, (2008).

[4] HuGuangshu. Digital Signal Processing-Theory, Algorithm and Implementation (Second Edition), Beijing: Tsinghua University Press, (2003).

[5] Heideman M T. Multiplicative Complexity, Convolution, and the DFT. New York: Springer Verlag New Yorklne, (1988).

[6] Duhamel P. Algorithms meeting the lower bounds on the multiplicative complexity of length-2n DFTs and their connection with practical algorithm. IEEE Trans. on ASSP, 1990; 38(9): 1504-1511.