如果将能谱实验数据的对数拟合成直线以求得粒子温度，则最好对温度误差的平方和极小化。
However, if a straight line is fitted for logarithmic spectrum data to give the particle temperature, it is better to minimize the temperature square error sum.
利用误差样本平均归一化自相关函数，可以对所抽取的数据独立性进行验证，同时为改进数据处理方法提供依据。
To validate the independency of data, we can using the average autocorrelation function of error swatch, it can also offer thereunder to ameliorate the method of disposing data.
本文介绍了在化探编图中，对数据系统误差进行校正的一种方法。
A correction method of systematic errors of data for geochemical map compilation is introduced in this paper.
用最小二乘法拟合等离子体粒子能谱实验数据时，通常使拟合函数与实验能谱数据之间的误差平方和极小化。
Fitting a curve for an experimental energy spectrum of plasma particles with the least square method, a square error sum between the fitted curve and experimental spectrum data is usually minimized.
对手工数字化线跟踪误差和扫描数字化线综合误差的来源进行分析，提出改善这两种数字化数据精度的几点建议。
The error sources of manual of line tracking and line synthesis of scanning are analyzed, and Suggestions to heighten two kinds of the precision of digitization data are put forward.
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。
On the basis of the error model, the paper also analyzes the application of data normalization algorithm to estimating fundamental matrix.
地图扫描数字化是GIS数据采集的重要手段，地图上的图形经扫描数字化后，其几何形状和面积因误差的存在而发生改变。
Map scanning digitization is one of the ways to capture spatial data in GIS. After digitization, the geometrical figure and area of a figure may change because of errors.
最后，通过实验数据验证，系统的泛化结果误差小于6%。
Finally experimental data show that the system generalization error is less than 6%.
首先分析了数字化数据中各种误差的影响性质及其控制方法，指出现有研究方法中存在的问题。
First, the influence property of different kinds of errors in digitalized data and the methods of controlling them are discussed. Some problems on the present methods are also studied.
利用MAPGIS实现地形图数字化是获取空间地理信息数据的主要手段之一，而图形数字化过程中会产生各种类型的误差。
To implement topographic map digitalization by means of MAPGIS is one of main means of getting spatial geographic information data, and that digitalization could bring out diversified sorts of errors.
在对GIS扫描数字化过程中，所采集的数据里经常含有系统误差和异常误差。
In the process of GIS scan digitizing, there are many errors including systematic errors and gross errors in the obtained data.
从这些漏洞百出的数据求出来的全球气温平均值是有误差的，或者说是均化的。
Extrapolating a global average from such data involves an amount of tinkering-or homogenisation.
它使数据的测量和分析实现自动化，从而减少人为误差。
It can make the measurement and analysis of date automated that can reduce human error.
在多比特反馈DAC的设计中采用了数据轮转算法，使得其失配误差平均化，谐波能量降低。
DWA(Data Weighted Averaging) algorithm is employed in design of the multi-bit feedback DAC to average the mismatch error and reduce the harmonic distortion.
应用时间序列分析理论研究了数字化误差的数学模型，并且用实例计算模拟了数字化误差对数字化数据精度的影响。
The statistical model with a time series analysis are discussed. And some examples are given to simulate the effects of these errors on the digitized data accuracy.
误差分析的结果表明，这种非同步取样数据的同步化算法，具有良好的同步效果，不仅可应用于稳态周期信号，也适用于周期性非稳态过程信号的测量和分析。
Simulation results show that the algorithm could be used not only in steady state signal analysis, but also in periodical non-steady state process signal analysis.
位置误差主要来源于直接测量的误差、地图数字化的误差遥感数据的误差、数据转换误差、数据输入与存储误差。
The data of GIS include space data and property data. Position errors are mainly from errors of direct measurement, digitalization of map, data input and store.
传统的对实时数据的处理是在基础自动化系统中完成的，处理得到的结果误差较大，严重影响了过程控制系统的精度。
Traditional real-time data treatment is finished in BA system, the results deviation is an important problem to improve the precision of process control system.
应用非线性最小二乘平差方法阻尼最小二乘法研究了数字化数据误差处理，并将该方法与最小二乘条件平差进行了比较。
This paper presents a study on error processing of map digitized data with nonlinear least squares adjustment which is called damped least squares.
智能传感器网络化是传感器领域的一项新兴技术，它使传感器成为网络中的一个节点，现场数据通过此传感器网络节点实现无误差的数字化及网络化传输。
Smart sensor networking is a new technology in the field of sensor, and it makes sensor be a joint of the net. So the raw data can be digitally and networkingly transduced with low difference.
在本文结尾给出了数字化数据处理误差分析，剖析了误差的来源。
In the end the paper gives the error analysis and points out the error source in the course of data processing.
完整的属性数据空间化误差的评价指标包括数据源、空间化模型和数据产品等三个方面。
F test; t test)and estimation error of the model. Evaluating index for spatialised data products includes mean value, maximum value, value distribution range and spatial distribution of errors.
从扫描数字化的基本原理及实施过程出发，分析了基于大比例尺地形图的扫描数字化的误差来源，着重讨论了影响扫描数字化数据结果精度的主要原因及采取的措施。
By analysing error resulting from the process of terrain map by digital scanning, we studied the precision problem in this process and made this process much more reliable.
最佳答案 · 最小二乘法是一种数学优化技术，它通过最小化误差的平方和找到一组数据的最佳函数匹配。
A mathematical procedure for finding the best-fitting curve to a given set of points by minimizing the sum of the squares of the offsets ("the residuals") of the points from the curve.
最佳答案 · 最小二乘法是一种数学优化技术，它通过最小化误差的平方和找到一组数据的最佳函数匹配。
A mathematical procedure for finding the best-fitting curve to a given set of points by minimizing the sum of the squares of the offsets ("the residuals") of the points from the curve.
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