摘要
经验模态分解过程中的端点效应会直接影响到信号的分解效果。针对此问题,结合邻域双边滤波的思想,提出了基于双边滤波的信号边界特征点匹配的端点延拓方法。该方法有效抑制了分解过程中端点效应的影响,提高了信号分量的精度。边界子波的延拓在遵循原始信号内部特征规律的同时,还考虑了局部数据差异性的影响,因此子波扩展具有自适应性。仿真实验和地震资料应用对比分析表明,该方法能有效解决信号分解过程中的端点效应问题。
The end effects of empirical mode decomposition affect the quality of signal decomposition. A method of signal boundary characteristic matching extension based on bilateral filtering was proposed to overcome it. The influence of the end effect is effectively restrained and the accuracy of signal components is improved. Both inherent laws of source signal and difference between local data are considered to boundary wave extension. The simulation and seismic data a nalysis demonstrate that it is an effective method for signal decomposition.
出处
《计算机科学》
CSCD
北大核心
2015年第B11期301-304,共4页
Computer Science
关键词
双边滤波
特征匹配
端点延拓
经验模态分解
Bilateral filtering, Characteristic matching, Endpoint extension, Empirical mode decomposition
