在时域编码系统中的自适应预测编码(Adaptive Predictive Coding，APC)受限于线性预测器，而线性预测器在下面3种类型基础上改变系数： ① 频谱微调结构——在更长时期内。
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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.
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.
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.
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