1) Lossless compression of seismic data
地震数据无损压缩
2) Lossy compression of seismic data
地震数据有损压缩
3) Lossless data compression
数据无损压缩
1.
The technologies such as lossless data compression of image file,the embedded control system,the high frequency and energy,and the light-splitting and timesharing,etc,are the key technologies to develop th.
对激光凹印制版设备中图形图像处理系统、控制系统、激光器和光学系统等进行了重点分析,指出制版图像文件数据无损压缩、嵌入式控制系统、高频高能以及分光分时等技术是当前开发激光凹印制版技术以及研制激光凹印制版设备的关键,最后对激光凹印制版设备的应用前景和发展方向进行了展望。
4) lossless data compression
无损数据压缩
1.
arithmetic coding algorithm is an efficient technique for lossless data compression,which has been adopted in JPEG2000 standard.
算术编码算法对于无损数据压缩是一种非常有效的方法,它已经被JPEG2000标准所采用。
2.
Lossless data compression is one of the major services in space flight missions and remote-sensing systems.
无损数据压缩是航天应用和遥感系统的重要业务之一。
5) seismic data compression
地震数据压缩
1.
This paper discusses some key factors that affect the performance of seismic data compression based on wavelet transforms, such as the distribution of wavelet transform factors, proper levels of decomposition and the effect of boundaries.
从实际处理结果可见 ,根据数据小波系数分布特点及结合零树量化编码对地震数据压缩可以满足限失真提高压缩比的工程要求。
2.
This made the wavelet transform to be widely used in the seismic data compression processing area.
由于地震波信号的非平稳性，将小波变换应用于地震数据压缩处理领域，是近年来研究的热点。
3.
Specific to the feature of seismic data signal and noise,and combining the embedded zerotree code,this paper proposes an encoding algorithm of seismic data compression based on the lifting wavelet transform;this algorithm uses the lifting scheme of Daubechies9/7,and codes the coefficient by improved SPIHT.
提出了一种基于提升格式小波的地震数据压缩算法,该算法针对地震数据信号及其噪声的特点,首先利用提升格式小波对地震数据进行小波变换,然后结合嵌入式零树编码的思想,对变换后的小波系数采用改进的SPIHT算法进行编码。
6) LZW
数据无损压缩算法
1.
The paper introduces the application of C ++ for LZW.
本文介绍了C ++在数据无损压缩算法 (LZW )中的应用。
补充资料：数据压缩
见信息处理。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条