预测模式
- 网络predictive;prediction mode;prediction model
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该模型根据CDMA网络小区的非平稳时间序列接入特点,建立了一种基于历史数据与采样数据相互补充的预测模式。
According to the unsteady time sequence access feature of CDMA cell , a predictive mode depending on mutually complementary historical data and sampled data was established by this model .
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大气环境影响预测模式中参数的敏感性分析
Sensitivity Analysis of Parameters in Predictive Models of Atmospheric Environmental Impact
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。B帧支持5种预测模式;
B frames in H.26L support five prediction modes ;
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有关pH值预测模式的探讨
Discussion on the Calculating Method of PH Value
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针对P帧,提出一种基于时域和空域联合的帧内预测模式快速判别算法。
Aimed at P frames , a new fast intra prediction algorithm , based on the joint of temporal and spatial correlation , is proposed .
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粗铜冶炼中铜锍品位的动态预测模式&AR(p)与指数平滑最优组合法
The dynamic pre-estimating model of the grade of copper matte in the course of raw copper metallurgy & the best combined approach of auto regressive and exponential smoothing
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其次,改进了PAN算法,提出了一种快速帧内预测模式选择的新算法。
Secondly , the PAN algorithm was improved and a new algorithm based on the statistical properties of adjacent blocks was proposed .
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一种用于AVS-M视频编码的快速帧内预测模式判断算法
A Rapid Intra Prediction Mode Decision Algorithm for AVS-M Video Coding
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面向AVS-M的快速帧间预测模式选择算法
A Fast Inter Mode Decision Algorithm Oriented to AVS-M
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对累积的大量数据进行专题分析,目前发展了EOF分析方法为预测模式,并对黄河三角洲水下地形的恢复和预测作了探讨。
EOF analyst method is developed to prediction model and here it is used to restore and predict the underwater terrain .
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首先,对Pan的基于边缘方向直方图的快速算法进行了改进,同时提出了基于参考象素特征的4×4快速帧内预测模式选择算法,并将两者进行了结合。
Second , a 4 × 4 intra prediction mode selection algorithm based on the feature of the reference pixels is proposed , and then joined together with the improved Pan 's algorithm .
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该方案利用一维分段线性复合混沌映射产生加密序列,然后根据应用场合的安全级别选择对运动矢量、预测模式以及DCT系数加密。
The scheme generated an encryption sequence by a new piecewise-linear compound chaotic function , and then encrypted campaign vectors , forecasting models and DCT coefficient based on the security level .
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对美国FHWA公路噪声预测模式的深入讨论
Further discussion in us / fhwa highway noise prediction model
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而快速算法的优化分为以下三步:SKIP模式的快速确定、帧间预测模式的选择、帧内预测模式的选择。
The optimization of fast algorithm can be divided into the following three steps : determine a SKIP mode rapidly ; chose a inter-frame prediction model ; chose a intra-frame prediction model .
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由于AVS-M对亮度块考虑9种预测模式,从而导致最优预测模式判断的计算相当复杂。
For luma intra prediction , there are 9 modes and the choice of optimized mode is very complex .
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LMSS中的多径衰落预测模式
A Prediction Model for Multipath Fading in LMSS
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最后再由AVS编码系统进行当前宏块预测模式的选择,从而保证当前宏块在嵌入水印信息的情况下,选择一种最优的预测模式。
At last , the prediction modes of current macroblock is determined using standard AVS coding algorithm which will ensure that the best prediction mode is used for current watermarked macroblock .
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算法分别基于利用图像DCT变换后的系数进行宏块纹理的分析与分类和基于最佳帧内预测模式的统计信息。
The first scheme is based on the texture classification method using discrete cosine transform ( DCT ) coefficients of original image . The second scheme is developed from statistical analysis of the distribution of best intra prediction modes .
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嵌入前,先将秘密信息进行BCH编码,再利用预测模式选择特殊的嵌入块来控制帧内失真漂移。
Before data hiding , the secret data is first encoded by BCH . Then we use the prediction mode to select the special embedding blocks to control intra distortion drift .
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运动补偿单元完成的功能是在帧间预测模式下,进行运动矢量预测,根据得到的运动矢量和参考图像索引从片外SDRAM中获取相应参考样本进行插值运算。
This unit predicts the Motion Vector under the inter prediction mode , and fetches the reference images from the off-chip SDRAM for interpolation according to the motion vector and reference image index .
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四维变分同化技术在优化Z-C预测模式初始场中的应用试验
Application of the four dimensional variational data assimilation technique on optimizing the initial conditions of z-c model
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实验结果表明,与H.263先进预测模式相比,采用所建议的运动补偿方法,图象的信嗓比得到明显的提高。
Simulation results demonstrate that , compared with the advanced prediction mode in H.263 , the proposed method for motion compensation makes higher signal noise ratio ( SNR ) for the reconstructed image .
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最后,建立了基于Lyapunov指数的时间序列预测模式和基于混沌和分形特征的神经网络预测模型。
Finally , the time series have been forecasted by the method based on the maximal Lyapunov exponent and an Artificial Neural Network model is set up for outburst prediction of coal seam tunneling face based on the chaos and fractal characteristics of time-series .
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在运动估计中,自适应地选择三步、四步搜索算法,提高了运动矢量搜索的速度和精度。在帧内、帧间模式选择上参见TMN建议,运用了自适应帧内、帧间预测模式。
This algorithm increases the speed and accuracy of the motion vector search In intra-frame / inter-frame model selection , I proposed an adaptive selection method of intra-frame / inter-frame prediction model , based on TMN Recommendation .
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方案使用Logistic映射产生的伪随机序列生成两组密钥,分别对帧内预测模式、变换量化后的系数、运动矢量等部分选用不同密钥进行加密。
According to this algorithm we designed encryption scheme and carried on the simulation . The pseudo-random sequence which is generated by the Logistic mapping produces two groups of keys , which encrypt in intra-prediction mode , the coefficient after the transform and quantization , the motion vector , respectively .
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将基于Lya-punov指数的一维预测模式具体化,建立了交通流短时预测模型,并对模型进行了改进,改进后的预测结果具有较高的精度。
A short-time forecasting model is developed from the one-dimensional forecasting mode based on the Largest Lyapunov Exponent .
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它以H.263为基础,采用了先进的帧内、帧间预测模式,4×4整数DCT变换,1/4精度运动估计和基于上下文的二进制算术编码等关键技术,使得H。
Based on H.263 , it makes use of several critical technique , such as advanced intra / inter prediction modes , 4 by 4 integer DCT transfer , motion estimation at 1 / 4 pixel level , and content-adaptive binary arithmetic coding .
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本文从理论上对FHWA公路噪声预测模式进行了深入分析、进而讨论了各参数的物理意义、模式的适用范围,并提供了二种特殊情况下公路噪声的预测模式。
Theoretical analysis on the model and the definition of the parameters , scope of the model application and the modified models in special cases are provided in this paper .
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本文讨论了陆地移动卫星业务(LMSS)中的多径衰落分布,综合国外有关实验数据导出了适用于地面多径接收环境中的经验衰落预测模式。
The multipath fading distribution in LMSS is discussed in this paper . An empirical prediction model is derived for the multipath environment by synthesizing the experimental data from abroad .
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提出了保证粮食安全生产几个预测模式,即粮食中含镉在0.2mg/kg以下时,土壤含镉量不宜超过0.8mg/kg;
Several forecast models of ensuring safety production of cereals are put forward :⑴ when the content of Cd in grains is to be kept below 0.2 mg / kg , that of Cd in soil should not be more than 0.8 mg / kg ;