Error models and data normalization techniques for high-resolution array technologies will be presented.
展示高分辨率阵列技术的误码模型和数据规范化技术。
On the basis of the error model, the paper also analyzes the application of data normalization algorithm to estimating fundamental matrix.
针对所建立的误差模型，分析数据规范化算法在基础矩阵估计中的应用。
And these methods are computationally expensive as they employ pre-process procedures including chip data normalization and other sophisticated statistical techniques.
而且这些方法由于使用了过多的预处理程序如数据归一化等其他复杂的统计方法，使得计算量非常大。
Based on this model both zero and gain drifts of the input channel can be corrected and its nonlinearity can be offset. Furthermore, the data normalization can also be done.
借此模型，克服零点漂移及增益漂移对检测精度的影响，补偿信号输入通道的非线性，实现了数据的规范化处理。
Multichannel record autocorrelation statistics, accurate well-seismic calibrate means and log data normalization with geology conditions restricting are applied to enhance log model reliability;
采用地质约束的测井归一化处理、多道记录自相关统计、精确的井震标定等手段建立精确的测井约束模型；
Data normalization is always recommended in theory, but in practice over-normalization (or normalization without appropriate de-normalization) lead to reliance on joins for data retrieval.
从理论上来说，总是建议您保证数据的规范化；但是在实践中，过度的规范化(或者没有恰当反规范化的规范化)会导致对数据检索连接的依赖性。
Data normalization is always recommended in theory, but in practice over-normalization (or normalization without appropriate de-normalization) lead to reliance on joins for data retrieval.
从理论上来说，总是建议您保证数据的规范化；但是在实践中，过度的规范化(或者没有恰当反规范化的规范化)会导致对数据检索连接的依赖性。
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