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Research on Earthquake Signal De-Noising Based on Independent Component Analysis

Author: GuoTianCi
Tutor: DiMingYue
School: North China Electric Power University (Beijing)
Course: Communication and Information System
Keywords: Independent Component Fast ICA Seismic signals Random noise
CLC: TN911.4
Type: Master's thesis
Year: 2009
Downloads: 191
Quote: 1
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Abstract


Seismic exploration has become an important method to detect underground rock structure , the seismic signal is the main source of information in the seismic exploration , to get accurate information from seismic signals , the seismic signals denoising this process is very important . Usually have the characteristics of the non - Gaussian signal due to seismic signals and random noise , statistically independent of each other , the subject of using independent component analysis (ICA) method for seismic signal denoising . The the effective seismic signal and random noise as the two independent signal sources , the received signal is a mixture of both . Analysis based on negentropy fixed point algorithm and its improved algorithm applied to the seismic signal denoising them . In -depth study of the characteristics of seismic waves on the basis of its three typical sub- wave modeling and algorithms using MATLAB programming and denoising simulation , to verify the feasibility of the algorithm .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Noise and interference
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