1) block data compression
分块数据压缩
2) fractal data compression
分形数据压缩
1.
In order to resume the “noise” information lost in the process of fractal data compression and obtain the invariance properties of fractal data compression, the paper provides a method to estimate and analyze parameters of the recovered data based on wavelet transform technique.
为了恢复在分形数据压缩过程中丢失的信息 ,从而获得分形数据压缩不变性 ,本文提出了一种基于小波变换技术估计和分析恢复数据参数的方法 。
2.
Based on this algorithm, equi segmented fractal data compression is proposed, and the programming steps are given.
从迭代函数系统ＩＦＳ入手，研究分形压缩原理，提出了一个分形数据压缩算法，并研究了其工程应用问题。
3) block data compression
分组数据压缩
4) nonblock data compression
非分组数据压缩
5) block-oriented compression
分块压缩
1.
In order to manage and store Point of Interest(POI) data of navigation E-map effectively in embedded navigation terminal with limited resources,based on Berkeley DB,this paper presents a block-oriented compression method for efficiently storing massive Point of Interest records on the embedded navigation terminal with limited resources.
为了在资源相对有限的嵌入式导航终端上对导航电子地图中包含的大量兴趣点(POI)数据进行有效的组织和存储,基于嵌入式数据库Berkeley DB,提出一种分块压缩的POI数据压缩存储方法。
6) Data Compression
数据压缩
1.
A study of ECG data compression based on wavelet neural network;
基于小波神经网络的心电数据压缩研究
2.
Power system fault recording data compression based on IWT and SPIHT coding;
基于整数小波变换和SPIHT编码的录波数据压缩算法
3.
Application of data compression based on AIS to the extraction of landslide anomaly;
基于人工免疫算法的数据压缩技术在滑坡异常提取中的应用研究
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