节点文献
基于整数小波变换的地震数据压缩
SEISMIC DATA COMPRESSION BASED ON INTEGER WAVELET TRANSFORM
【摘要】 由于地震数据的特殊性 ,在某些情况下需要进行无损压缩 .本文通过应用提升方法构造的整数小波变换无损压缩地震数据 ,与传统的无损压缩算法相比 ,可以较好地提高压缩率 .CDF(2 ,n)系列双正交小波可以较好地消除数据间冗余 ,集中数据特征 ,比其它CDF系列、SWE和CRF双正交小波有更好的压缩效果 .CDF(2 ,n)系列双正交小波更适合作为整数小波变换无损压缩地震数据的小波函数 .
【Abstract】 Due to the particularity of the seismic data, they must be treated by lossless compression algorithm in some cases. In the paper, based on the integer wavelet transform, the lossless compression algorithm is studied. Comparing with the traditional algorithm, it can better improve the compression rate. CDF (2, n) biorthogonal wavelet family can lead to better compression ratio than other CDF family, SWE and CRF, which is owe to its capability in canceling data redundancies and focusing data characteristics. CDF (2, n) family is suitable as the wavelet function of the lossless compression seismic data.
【Key words】 lossless compression; integer wavelet transform; lifting scheme; biorthogonal wavelet;
- 【文献出处】 地震学报 ,Acta Seismologica Sinica , 编辑部邮箱 ,2004年S1期
- 【分类号】P315.61
- 【被引频次】9
- 【下载频次】187