小波变换与地震数据压缩

1994年 33卷 第No. 4期
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Wavelet transform and seismic data compression
地矿部石油物探研究所, 南京210014
Research Institute of Geophysical Prospecting for Petroleum, Nanjing 210014
本文详细介绍了小波变换的基本理论及离散信号多分辨率分析的一种具体实现方法(即金字塔算法), 并据此提出了一种基于小波变换的地震数据压缩算法。多个数据集的压缩/重建处理表明本方法效果很好, 通常情况下压缩比可达8:1~16:1左右。
The paper gives a presentation of the philosophy for wavelet transform and the approach on the multiresolution analysis for discrete signals (i. e. the pyramid algorithm). In what follows an algorithm for seismic data compression is presented based on the wavelet transform technique, of which the effectivity was verified via an experiment of data compression and reconstruction on several data sets. Usually, the compression ratio able to be reached is in the range of 8: 1~ 16: 1.
小波变换; 多分辨率分析; 数据压缩; 金字塔算法; 编码;
Wavelet Transform; Multiresolution Signal Analysis; Data Compression; Pyramid Algorithm; Coding;