摘要
随着小波理论的发展与应用，小波变换已成为信号分析处理的一种强有力的新工具。本文根据M带小波变换理论，结合地震数据的特征，将M带小波变换应用于地震数据的压缩处理，提出了地震数据的压缩编码算法。其压缩过程为：首先对地震数据进行二维M带小波分解，形成由小波变换系数构成的分频剖面;然后对各子带中的细节分量进行阈值取舍，保留有用的细节分量而会去无用的或对原始数据贡献较小的成分;再采用自适应方法对所剩的M带小波变换系数进行尺度量化;最后采用算术编码进行熵编码，完成地震数据的压缩编码全过程。数据重建可通过作解码、反量化、利用M带小波逆变换实现之。实验结果表明，该方法简单、易操作，对地震数据压缩行之有效，压缩比可达10～30。
With the increasing development and application of wavelet theory, wavelet transform has become a powerful new tool for signal processing. In the light of Mband wavelet transform theory and seismic data characteristics, M-band wavelet transform is used to compress seismic data to develop coding algorithm for seismic data compression. Data compression is achieved in following steps:· 2-D M-band wavelet decomposition is made to obtain frequency-division section that consists of wavelet transform coefficients.· Threshold acceptance or rejection of detail components in each subband must be done to retain useful detail component but to reject those which are useless or only have little contribution to original data.· Scale quantification of remaining wavelet - transform coefficients in M - band is achieved by using adaptive method.· Entropy coding is finished by using arithmetic coding, thus achieving datacompression.Data reconstruction can be realized by making decode, inverse quantification and inverse transform of M-band wavelet. The method is characterized by simplicity, easy operation, effective data compression and compression ratio of 10～30.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1999年第2期227-234,共8页
Oil Geophysical Prospecting
基金
中国博士后科学基金
关键词
M带小波变换
地震数据
数据压缩
地震勘探
M-band wavelet transform, seismic data, compression, entropy code, quantification
