Earticle

초록

영어

For the distortion problem of traditional denoising threshold function exists, a seismic signal denoising method based on wavelet packet multi-threshold function was present. Seismic wave signals were done wavelet packet decomposition and wavelet packet decomposition coefficients were arranged in the order of magnitude of the frequency, the appropriate threshold criteria was selected on different frequency bands and threshold processing was done on different frequency bands. Synthetic seismic signals and real seismic data were done multi-threshold wavelet packet decomposition, which better remove high frequency random noise and retain useful signals. Experimental results showed that multi-threshold wavelet packet decomposition method can effectively remove noises and improve the resolution of seismic data, with better denoising effect.

목차

Abstract
 1. Introduction
 2. Wavelet Packet Transforms
  2.1. Wavelet Packet Definition
  2.2. Denoising
  2.3. Wavelet Packet Frequency Sequences
 3. Choice of Wavelet Base and Multi-Threshold
  3.1. Determination of Best Wavelet Packet (Calculates the Optimum Tree).
  3.2. Multi-Threshold
 4. Simulation
  4.1. Simulation Signal Denoising.
  4.2. Analog Seismic Record Noising.
 5. The Seismic Data Denoising
 6. Conclusions
 References

키워드

저자

• Liu Shucong [ Institute of Disaster Prevention, Sanhe, 065201, China ]
• Cheng Lina [ Institute of Disaster Prevention, Sanhe, 065201, China ]
• Li Lixin [ Institute of Disaster Prevention, Sanhe, 065201, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605