搜索资源列表
curve-fitting-and-radio
- 利用labview设计： 设计一台实用的曲线拟合仪，由用户选择实验数据的输入方式。对已给定的实验数据，用户可方便的选用线性、指数、多项式种曲线拟合方式，并直观地给出各种拟合方式的拟合结果,此VI还具有保存实验数据的功能。 录音机 (可以回放)-The labview design: design a practical curve fitting instrument experimental data selected by the user input. Given experim
sensor-analysis
- 这是一个仪器性能分析程序，对一组数据进行拟合，分别计算仪器的线性度、迟滞、重复性、最大值、最小值。-This is an instrument performance analysis program to fit a set of data were calculated instrument linearity, hysteresis, repeatability, maximum, minimum.
Linear-fitting-of-polynomial
- 利用模拟信号编译的多项式线性拟合的子程序-Linear fitting of polynomial
akenima
- 阿克尼玛拟合曲线,改程序经过适当修改，可以应用空间很大。-Gram nima fitting curve，Change program with proper modification, can be applied to the space is very large.
nihe
- labview在进行数据处理时用的曲线拟合程序-labview used during the data processing program of curve fitting. .
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- labview 使用最小二乘法进行拟合 计算-labview least square
Linear-fit
- 线性拟合，几种拟合方式来进行数据拟合，分类。-Linear fit
Agilent-B2900
- 此虚拟仪器可以控制Agilent B2900系列仪器，可以任意设定电压起始值、终止值、步长，实现VI特性及电阻测量，数据保存在用户所选定的位置（电压电流电阻三维竖排数组）并通过广义最小二乘拟合显示在波形图上。-This virtual instrument to control Agilent B2900 Series instruments, the voltage can be set start value, end value, step, to achieve VI character
16LABVIEW
- LabVIEW曲线拟合插值,学习LABVIEW的好例子-LabVIEW curve fitting, interpolation, a good example of learning LABVIEW
Least-Squares-Fit
- Labview最小二乘法拟合，适合初学者学习-Least Squares Fit
Curve-fitting
- 此代码实现采用最小二乘拟合求回归系数的功能-This code uses a least squares fit of the regression coefficients seeking function
Mathematical--and-signal-
- LabVIEW（8.2）课本13.1章源程序，例子详细，包括图像化编程与数学分析，基本数学函数，线性代数，曲线拟合，插值，数值积分与数值微分，概率与统计，最优化，常微分函数，空间解析几何，公式解析，Mathscr ipt-LabVIEW (13.1 8.2) procedures, examples in detail, including the visualization programming and mathematical analysis, the basic mathematica
BP
- BP神经网络用于数据的拟合，同时，还可以用于对数据的分类-BP neural network is used to fit the data, but can also be used to classify the data
1
- LABVIEW的BP神经网络曲线拟合程序-the BP ANN exe based on LABVIEW
LabVIEW-Origin
- LabVIEW Origin相关函数，包括分析、拟合、作图等-Origin Functions in LabVIEW
AR-model
- 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法-auto regression model
作业14
- labview线性拟合，数据存储，数据写入，多种方式拟合曲线(labview Linear fitting)
fitting
- 点拟合平面,能够根据输入的点拟合平面，进而求出平面方程、法向量。(plane fitting for Matlab)
LorentzFit
- 按照洛伦兹分布将散点拟合成曲线，基于Labview(Lorentz distribution curves fiting based on Labview.)
labview拟合
- labview的曲线拟合，包括线性拟合，多项式拟合，有输入有输出(Curve fitting of LabVIEW, including linear fitting, polynomial fitting, with input and output)