色度预测模式也几乎相同。
在预测模型中，使得预测模式结果更加准确。
As such the forecasting result is accurate in forecasting model.
目的：研究肺癌检测指标组合、联检标准和预测模式。
Objective: To explore the combined detection of tumor markers in lung cancer, standards of combined detection and predictive model.
地理资讯系统在考古遗址管理与预测模式的应用及问题。
Applications and Problems of GIS in Archaeological Site Management and.
帧内预测模式编码使用基于临近块模式的算术编码上下文。
Intra prediction mode coding is done using arithmetic coding contexts based on the modes of the neighboring blocks.
依统计分析，建立了水文中长期预报的一个综合分析预测模式。
Based on statistic analysis, a comprehensive analysis prediction model for middle and long term hydrological forecast was presented.
预测模式将在今后的试验中逐步调整，使之符合广西实际情况。
The forecast pattern will gradually perfect in the future experiment, to accord with the actual situation of Guangxi.
这是宏观经济学的基本信号，也是公立和私营部门的基本预测模式。
This is a basic message of macroeconomics and a central feature of public- and private-sector forecasting models.
对股票市场投资者预测模式的研究是股市基础研究的一项重要工作。
The study on the expectation mode of stock investors is very important for the study of stock markets.
特殊预测模式在内部有一些差别，但和H . 264有同样的名称。
The specific prediction modes are internally slightly different, but have the same names as in H. 264.
目的探索中国农村牙科人力预测模式，为我国牙科人力研究提供参考。
Objective To explore the dental manpower forecasting model of Chinese rural region and provide references for Chinese dental manpower researches.
实例分析表明，本文建立的灰色预测模型和关联预测模式是可靠有效的。
Analysis of an example shows that the predicting method is reliable and effective.
根据污染物质的输入和输出动态平衡关系建立了土壤重金属污染预测模式。
Based on the dynamic equilibrium of input and output pollutants, a predicting mode for heavy metals in soil has been set up.
据此建立了长坡锡多金属矿床矿化深度和深部规模的地球化学找矿预测模式。
Accordingly, the predictive geochemical prospecting model in depth and deep scale for Changpo super Sn poly metallic deposit is established.
高级预测模式可与无限制运动向量模式一起使用以提高预测性能及降低方块效应。
Combined with Unrestricted Motion Vector mode advanced prediction mode can be used to improve the prediction performance and reduce the "blocking" effects.
提高编码效率的技术有改进的PB帧、先进的帧内预测编码和先进的预测模式等；
Some refined coding methods, including Improved PB frames, Advanced Intra Coding and Advanced Prediction Mode, are used to improve the coding efficiency.
因此为了降低帧内预测模式选择的计算复杂度，本文改进了帧内预测模式选择算法。
In order to reduce the complexity, this paper proposes a fast arithmetic for intra-prediction mode selection.
然后根据复杂度冗余的大小，选择更多的预测模式进行处理，实现复杂度的精细分级。
And then, according to the redundancy of complexity, more prediction modes are chosen to be processed, which achieve refined scalability of complexity.
最后，通过具体的工程，对山区公路工程建建设期水土流失量的预测模式进行了实证。
Finally, the prediction model of soil erosion amount about a specific highway project during its construction period in mountainous area is analyzed.
对于帧内预测模式，也以块为单位，采用一种“放大的帧内预测模式”进行放大处理。
And to the intra prediction model, we also take block as the unit and enlarge the prediction-frame by using an "enlarged intra prediction model".
本文通过对国内外铁路噪声预测模式比较分析，找出影响铁路噪声分布的主要影响因子。
The domestic and international railway noise predicted models has been analyzed and find out main environment factors affecting noise.
结果表明，时间可预测模式比滑动可预测模式更接近胶辽海峡历史地震的时间序列特征。
The conclusion is that the time predictable model is more closer to the time series character history earthquakes than the slip predictable model.
用户可以使用显示历史记录的同一小部件打开或关闭预测模式的显示，这样预测的数据值可添加到图表或表。
Users can toggle the display of the prediction patterns on or off using the same widget that shows the history, whereby predicted data values are added to the chart and the table.
提出了一种快速帧间模式选择算法，通过利用宏块的运动特性，有效跳过不必要的帧间预测模式。
The proposed algorithm can effectively skip unnecessary inter-prediction modes by using the properties of motion of the macroblock.
提出了一种新的基于非线性局部预测模式(NLLP)的信号处理方法，并将其应用于话音编码中。
Presented in this paper is a new signal processing method which is based on a nonlinear local prediction model (NLLP) and applied to speech coding.
提出了一种新的基于非线性局部预测模式(NLLP)的信号处理方法，并将其应用于话音编码中。
Presented in this paper is a new signal processing method which is based on a nonlinear local prediction model (NLLP) and applied to speech coding.
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