PPM是自适应统计数据压缩技术，基于上下文建模和预测。
PPM is an adaptive statistical data compression technique based on context modeling and prediction.
对于给定的细节较少的单色数字图象，本文给出了一种自适应的离散余弦变换(DCT)数据压缩方法。
For a given monochrome digital image with low detail, an adaptive DCT data compression method is given and compared with adaptive DPCM method.
本文提出了一种采用变换和自适应方法的图象数据压缩系统。
An image data compression system is presented which USES the transform and adaptive method.
本文主要研究图象数据压缩的自适应方法。
This paper deals primarily with the adaptive method of image data compression.
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。
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.
在此基础上，完成了基于特征的曲面网格自适应构造，实现了大规模点云的精确数据压缩。
Then a feature based polyhedral model is reconstructed adaptively, so a large scale precise data reduction, under allowable error, is also realized at the same time.
该系统采用了实时自适应ecg数据压缩算法(MFAN)、最优编码和大容量动态存储器等技术，可存储长达24小时的心电信号。
It can record and monitor ECG signal continuously up to 24 hours a real-time ECG compression algorithm (MFAN), DRAM technique and optimal coding method are presented.
该系统采用了实时自适应ecg数据压缩算法(MFAN)、最优编码和大容量动态存储器等技术，可存储长达24小时的心电信号。
It can record and monitor ECG signal continuously up to 24 hours a real-time ECG compression algorithm (MFAN), DRAM technique and optimal coding method are presented.
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