SEISMIC WAVELET IDENTIFICATION BASED ON HIGHER-ORDER STATISTICS AND BERNOULLI-GAUSSIAN MODEL

摘要：

Wavelet identification is an effective technique for improving the resolution of seismic data. Based on the higher-order statistics, bispectrum of seismic signals contain amplitude and phase information of seismic wavelet to extract and identify the seismic wavelet. The examples of synthetic data under higherorder statistics theory show that the method is feasible.

关键词： higher-order statistic wavelet identification bispectrum Bernoulli-Gaussian model

作者: Y.Du Y.S.Xiao R.Y.Li

作者单位: College of Electronics and Information Engineering Tongji University Shanghai, China

会议类型: 国际会议

会议名称: 2012 International Conference on System Simulation(2012年国际系统仿真学术会议)

会议地点: 上海

会议语种:英文

页码: 120-123

在线出版日期: 2012-04-06（万方平台首次上网日期，不代表论文的发表时间）