地质与勘探2017，Vol.53Issue(4)：765-772,8.
基于改进混沌果蝇优化小波阈值法地震信号随机噪声压制
Suppression of Seismic Random Noise Based on the Improved Wavelet Threshold Method Using Chaotic Fruit Fly Optimization
摘要
Abstract
It is usually difficult to interpret the seismic data collected in the field bearing a large amount of random noise.Although the wavelet threshold method can be used to remove such noise,it requires prior estimation of the signal,which is largely conjecture,hard to obtain optimal resuhs.In this article,we propose a wavelet threshold denoising method based on the improved chaotic fruit fly optimization.This method selects the objective function based on the generalized cross validation (GCV) as the threshold selection function.In order to optimize this objective function,adjustment coefficient is introduced into the optimization algorithm of the chaotic fruit fly.Then the optimal wavelet threshold can be obtained without any prior information.By denoising tests of synthetic seismic records and measured seismic data and comparing with the commonly-used wavelet threshold denoising method,the effectiveness of this new method is proved.关键词
地震信号/随机噪声/小波阈值法/混沌果蝇Key words
seismic signal/random noise/wavelet threshold method/chaotic fruit fly分类
天文与地球科学引用本文复制引用
刘军,郑成龙,吴新华,管弦,杨志超,杨凤..基于改进混沌果蝇优化小波阈值法地震信号随机噪声压制[J].地质与勘探,2017,53(4):765-772,8.基金项目
国家自然科学基金项目(编号51304050)、东华理工大学核技术应用教育部工程研究中心开放基金(编号HJSJYB2015-13、HJSJYB2016-9、HJSJYB2016-1)和江西省自然科学基金(编号20161BBE53006)联合资助. （编号51304050）
