本文把图象信号作为一个高阶非稳马尔柯夫过程，提出一种自适应预测编码方案。
This paper presents an adaptive prediction coding scheme for the image signals regarded as a high order nonstationary Markov process.
将该方案实际应用于分析合成自适应预测语音编码系统，它有效地利用了声道参数码矢和激励参数码矢之间的冗余信息。
The FSVQ-CEC scheme is applied to an analysis-synthesis adaptive predictive speech encoding system so as to exploit the redundancy between vocal tract codevectors and excitational codevectors.
主观试验表明，与其它帧内编码方式比较，建立在轮廓预测基础上的自适应预测器对分辨率测试卡的预测有明显改善。
Subjective tests show that the adaptive predictor based on contour prediction improves considerably the prediction of resolution charts in comparison with the other intraframe coding schemes.
模拟结果表明，此项缓存控制技术不仅能准确预测编码码率，而且能自适应视频的场景变化，使解码图像质量比较均匀。
Simulation result shows that the buffer control strategy can not only predict the video coder's output correctly, but also adapt the scene changes in video, get similar decoded image quality.
本文利用计算机模拟对各种类型的编码方案，包括最佳线性预测器、自适应量化器、帧内自适应预测器以及帧内-帧间自适应预测器进行了比较。
Various coding schemes such as optimum linear predictors, adaptive quantizers, intraframe adaptive predictors, and intra-interframe adaptive predictors are compared by means of computer simulations.
本文利用计算机模拟对各种类型的编码方案，包括最佳线性预测器、自适应量化器、帧内自适应预测器以及帧内-帧间自适应预测器进行了比较。
Various coding schemes such as optimum linear predictors, adaptive quantizers, intraframe adaptive predictors, and intra-interframe adaptive predictors are compared by means of computer simulations.
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