• 通过实验验证算法有效性并以峰值信噪(PSNR)评价准则利用多项式拟合方法选择优参数。

    Experiments proved the validity of the model. Taking Peak Signal-to-Noise Ratio (PSNR) as criterion the best preference was found by using polynomial fitting.

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  • 基于多项式分段拟合舰船观测方位数据处理方法观测方位序列进行分段处理。

    The data processing method of warship observation orientation based on polynomial segment fitting, and the sequences of observation orientation were processed in segment.

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  • 结论多项式拟合曲线较为理想线性评价方法保证实验结果准确性可靠性而且适用临床

    Conclusion the polynomial fitting curve is the perfect linear evaluation method. It guarantees both the accuracy and reliability of the experimental results, and is more suitable to clinic.

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  • 基于误差预处理技术方位目标跟踪方法采用多项式分段测量

    The tracking method of pure orientation target was based on error pretreatment, and adopted polynomial segmentation fitting to measure.

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  • 提出了描述标准击实试验中土料密度含水量之间函数关系拟合正交多项式方法

    Fitting orthogonal polynomial method for characterizing the functional relationship between the dry density and moisture content of earth-fill in standard compaction test is presented.

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  • GPS测量和水准测量资料,利用支持向量方法GPS高程进行了转换神经网络多项式拟合结果进行了比较,得出了一些有益结论。

    In this paper, a method for converting GPS height to normal one by means of support vector machine is proposed, and compared with the methods of neural network, polynomial fitting etc.

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  • 实测数据处理结果表明方法有效地解决拟合效果多项式阶数之间矛盾

    Results based on practical measurements show that the proposed technique can effectively resolve the conflict between fitting effects and the polynomial order.

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  • 介绍多项式曲线拟合原理方法

    The paper proposes principle and method of multiplication curve matching.

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  • 所提出的多项式拟合平滑取样方法PFSS)使平滑取样同步进行

    The polynomial fit smooth sample (PFSS) method is given in this paper. The PFSS synchronizes tape reading, smoothing and sampling.

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  • 针对这种情况提出基于维二多项式去除不均匀背景方法

    In this case, a method based on two -dimension second - order polynomial is proposed to fit and remove the brightness value of background.

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  • 本文介绍线性多项式拟合方法及其分析化学中的应用示例

    The methods of linear fitting and polynomial fitting and their applications in analytical chemistry have been shown in this paper.

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  • 针对线结构扫描多项式拟合测量模型系统误差问题,提出了一用于测头系统误差提取补偿方法

    For polynomial fitting measuring model of a linear structured light scanning probe, the extraction and compensation methods for systematic errors of the probe are presented.

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  • 利用基于正交多项式分布方法实际问题进行了损失分布拟合取得了较为理想的结果损失分布的拟合提供了一种新的方法

    It is used the fitting methods based on orthogonal polynomial to study a practical problem, and achieved better results, that provide a new method for the loss of distribution fitting.

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  • 本文介绍利用离散正交多项式进行物体表面局部曲面拟合检测物体特征方法

    In this paper a method of using discrete orthogonal polynomials to fitting local surface of object in order to detect characteristics of range images is presented.

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  • 本文采用三次多项式插值曲线拟合方法简单有效地提取出在线掌纹的线特征。

    In this dissertation, a line extraction method based on cubic polynomial interpolation and minimum mean square error fitting are proposed, which can effectively extract lines out.

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  • 分别介绍了分段多项式培其一奥斯古特三参数方程拟合应力应变曲线并求切线量和割线模量方法

    By piecewise polynomials and the Ramberg-Osgood three-parameter equation fitting the stress-strain curve, the expressions of the tangent and secant modulus are derived.

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  • 本文提出了一种加权多项式回归球状模型二级球状模型函数进行拟合方法

    The paper suggests an approach, utilizing the weighted polynomial regression for the best fitting of the variogram about spherical model or two-order nested spherical model.

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  • 生成中间方法线性多项式拟合法等。

    The usual methods of building in-between frames include linear interpolation method and higher order spine interpolation.

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  • 同时,方法采用目前非常成熟多项式最小二乘拟合。从而不仅能控制拟合函数复杂性,而且使分段拟合补偿区间数量达到最少,极大地降低计算成本

    The paper adopts the method of multinomial least squares as fitting to make the fitting function be simple and the amount of compensation interval be least, reduces the calculation cost.

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  • 多项式曲线种较常用数据处理方法但当数据点较多时,采用多项式曲线函数拟合所有数据点难以取得较好的拟合效果

    Polynomial curve fitting is a usually used data fitting method. When there are too many data for fitting, only just one polynomial curve function cannot acquire good fitting effect.

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  • 射线衍射线常用多项式拟合移动平滑方法进行处理。

    Least squares polynomial smoothing was constantly used in X ray diffraction test.

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  • 本文首先阐述了四次多项式基本原理以及精度评定方法然后具体,实际计算分析了此种拟合方法的精度。

    Firstly, the author discusses the theory of the fitting method and precision estimate, and then analyzes the precision through calculating a practical example.

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  • 将本方法周期时段划分精度函数收敛方面多项式拟合法进行对比。

    The Fourier polynomial fitting is compared with the Chebysher polynomial fitting in the division of cyclic time interval and fitting accuracy as well as convergence of function.

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  • 此外多项式曲线法的对比分析表明,方法优于传统的多项式曲线拟合法,具有更好预测效果。

    The proposed method can give more reasonable and more promising prediction results as compared with polynomial curve fitting technique.

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  • 本文寻找种精确角度入射反射系数入射角变化的方法入手,提出一个泊松比有关的二次多项式

    The authors'attempt is to find out an approach by which reflection coefficients can vary with incidence when large incidence is best fitted.

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  • 方法首先讨论了传统抗呼吸干扰相干平均改进,同时提出了估计拟合呼吸时域切比雪夫正交多项式消除呼吸干扰的方法

    Method The improvement of coherent averaging method of Reducing respiratory Interference was discussed, and evaluation-fitting respiratory wave and filter of Chebyshev's polynomial as presented.

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  • 本文介绍最小二乘曲线原理的基础上,采用多项式姿态参数进行平滑拟合,以实例验证方法有效性

    Based on introducing the principles of the least square conic fitting, this paper USES binary polynomial fitting for the attitude parameters. And an example has proved that this method is useful.

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  • 多项式曲线解决工程应用问题曲线拟合常用方法

    It is the way that fitting curve of polynomial is most in use to solve the application problem of engineering.

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  • 通过动态测量霍尔位移传感器位移-电压数据进行坏值剔除三次多项式非线性,表明动态测量中传感器数据非线性处理方法

    The curve of a Hall displacement sensor is obtained by polynomial fitting. The method of data erasing and curve fitting can be applied in processing the data of sensor in dynamic measurement.

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  • 本文提出了一种方法隐式多项式曲线拟合数据点,使数据多项式曲线距离控制相对较小范围内

    In this paper a method is proposed to fit data point with implicit polynomial 2D curves, to make the distance from the data points to the curve within the relatively smaller range.

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