Vector quantization (VQ) is an efficient data compression technique.
矢量量化(VQ)是一种有效的数据压缩技术。
Efficient video compression techniques are very important to the save and transmission of the increasing data in video processes.
有效的视频压缩编码技术对视频处理中大量数据的存储和传输来说是至关重要的。
Through lossless compression of geometric data in the network transmission, an efficient method which alleviates the network burden is proposed.
通过对网络传输中的几何数据进行无损压缩，提出了一种能有效缓解网络负荷的方法。
Block Adaptive Quantization (BAQ) is the most efficient algorithm for Synthetic Aperture Radar (SAR) raw data compression. In this paper, the theory on this algorithm is introduced.
分块自适应量化(BAQ)算法是目前最适于工程实现的合成孔径雷达(SAR)原始数据压缩算法。
Universal lossless algorithm of data compression are always efficient to text and inefficient to typical numerical data from simulation.
现有的通用无损压缩算法往往对文本数据压缩比较有效，而对典型数值模拟数据的压缩则不理想。
And the data embedding capacity of the image is limited. To embed all the information of an image to itself, without affecting the visibility of the image, data compression must be highly efficient.
而一幅图像的数据嵌入容量是有限的，要将图像的全部信息自嵌入，又不影响图像的可视性，必须经过高效的数据压缩。
Vector quantization (VQ) is an efficient approach of lossy data compression.
矢量量化(VQ)是一种高效的有损压缩技术。
As a kind of three-dimensional data sets, it is different from the 2d still image, and is also different from video series, so the general image compression method is not efficient for them.
高光谱数据作为一种三维图像，不同于二维静止图像，也不同于视频图像，一般的图像压缩技术难以达到高光谱压缩的性能要求。
As a kind of three-dimensional data sets, it is different from the 2d still image, and is also different from video series, so the general image compression method is not efficient for them.
高光谱数据作为一种三维图像，不同于二维静止图像，也不同于视频图像，一般的图像压缩技术难以达到高光谱压缩的性能要求。
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