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Description: 曲线拟合程序
多项式相关系数的计算方法(多项式形式1)
多项式相关系数的计算方法(多项式形式2)
最小二乘法曲线拟合
三次样条插值(自然边界条件)-polynomial curve fitting procedures correlation coefficient is calculated (the form of a polynomial) polynomial coefficient of correlation Methods (polynomial form 2) least-squares method curve fitting cubic spline interpolation (natural boundary conditions)
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Author: 石林 |
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Description: //=== === === === === === === =
//函数说明
//函数名称:PolyFit
//函数功能:最小二乘法曲线拟合
//使用方法:double *x ---- 存放n个数据点的X坐标
// double *y ---- 存放n个数据点的Y坐标
// int n -------- 给定数据点个数
// double *a ---- 返回m-1次拟合多项式的m个系数
// int m -------- 拟合多项式的项数,即拟合多项式的最高次为m-1。要求m<=n,且
// m<=20。若m>n或m>20,则本函数自动按m=min{n,20}处理
// double *dt --- dt[0]返回拟合多项式与各数据点误差的平方和;dt[1]返回拟合多
// 项式与各数据点的误差绝对值之和;dt[2]返回拟合多项式与各数据
// 点误差绝对值的最大值
//注意事项:拟合多项式的形式为 y = b0 + b1*(x-Xavr)...
-//=== === === === === ==== === === === === === === ==== === =// function annotations// function name : PolyFit// Function functions : Least Squares Curve Fitting// Use : double* x n-store data point coordinates of the X//* y double-storage n data point Y coordinates// int n-------- given the number of data points//* a double---- returned to the m-1 m fit polynomial coefficients// int m-------- polynomial fitting items , which is the highest polynomial fitting time for m-1. Request m
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Size: 1024 |
Author: 石林 |
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Description: MATLAB插值与拟合(线性拟合函数:regress()
多项式曲线拟合函数:polyfit( )
多项式曲线求值函数:polyval( )
多项式曲线拟合的评价和置信区间函数:polyconf( )
稳健回归函数:robust( )
向自定义函数拟合
)-MATLAB interpolation and fitting (linear fitting function : regress () function polynomial curve fitting : polyfit () polynomial curve function : polyval () polynomial curve fitting and evaluation function confidence interval : polyconf () function Robust Regression : robust () function to define fitting)
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Size: 15360 |
Author: 廖政 |
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Description: 这里提供了两个消除趋势相的matlab程序
在故障诊断中 要对信号进行频谱分析 而在频谱分析前要消除趋势相 这样得到的频谱 能更好的反映故障 有利于进一步诊断-Here are two trends in the elimination phase of the matlab program in fault diagnosis to the signal spectrum analysis and spectrum analysis in the former to eliminate the tendency of such spectrum can be better reflected further in favor of fault diagnosis
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Size: 1024 |
Author: 熊健 |
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Description: 多项式曲线拟合 任意介数 Purpose - Least-squares curve fit of arbitrary order
working in C++ Builder 2007 as a template class,
using vector<FloatType> parameters.
Added a method to handle some EMathError exceptions.
If do NOT want to use this just call PolyFit2 directly.
usage: Call PolyFit by something like this.
CPolyFit<double> PolyFitObj
double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A)
where X and Y are vectors of doubles which must have the same size and
A is a vector of doubles which must be the same size as the number of
coefficients required.
returns: The correlation coefficient or -1 on failure.
produces: A vector (A) which holds the coefficients.-Polynomial curve fitting the number of arbitrary referral Purpose- Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector
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Size: 12288 |
Author: bilka |
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Description:
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Size: 3072 |
Author: yaohaihua |
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Description: 利用最小二乘解法进行离散数值拟合,得到逼近曲线-Discrete least-squares method for the use of numerical simulation, the approximation curve
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Size: 1024 |
Author: tangwencheng |
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Description: 任意阶的多项式曲线拟合方程,附三角maxtix分解-polynomial curve fitting, and triangularity decomposition(LU decmposition)
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Size: 2048 |
Author: yang xulei |
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Description: polyfit demo program with noise added in-polyfit
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Size: 4096 |
Author: rrr |
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Description: 用于拟合曲线 经检验结果较好 以应用科研工作-polyfit
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Size: 2048 |
Author: jiangyingwei |
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Description: 它包含了数据拟合、interp1 - 一元函数插值、 spline - 样条插值、polyfit - 多项式插值或拟合、curvefit - 曲线拟合、caspe - 各种边界条件的样条插值、casps - 样条拟合(没有)、interp2 - 二元函数插值、griddata - 不规则数据的二元函数插值、interp - 不单调节点插值和lagrange - 拉格朗日插值法的代码.-It contains code of data fitting, interp1- unary function interpolation, spline- spline interpolation, polyfit- polynomial interpolation or fitting, curvefit- curve fitting, caspe- a variety of boundary conditions of the spline interpolation, casps- spline fitting (no), interp2- binary function interpolation, griddata- the dual function of irregular data interpolation, interp- interpolation nodes is not monotonous, and lagrange- Lagrange interpolation.
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Size: 20480 |
Author: 温娟 |
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Description: Matlab中提供了一种快速实现多项式拟合的方法函数polyfit()函数,
其格式:p=polyfit(x,y,n)其中x,y为样本向量,n为拟合的多项式的项数。下面拟f(x)=sinx+x,在区间【-3,3】上以0.5为间隔进行拟合。-Matlab provides a fast way to achieve polynomial fitting function polyfit () function,
The format: p = polyfit (x, y, n) where x, y as the sample vector, n is the number of items of polynomial fitting. The following proposed f (x) = sinx+ x, the interval-3,3】 【intervals on the order of 0.5 to fit.
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Size: 29696 |
Author: 小董 |
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Description: matlab 曲线拟合 谢谢大家 有需要其它的请加我邮箱 gaochx@hotmail -about matlab polyfit my Email is gaochx@hotmail
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Size: 20620288 |
Author: 高晨旭 |
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Description: C语言的曲线拟合程序,并附有最简单的调用演示程序-C-curve fitting procedure, together with the most simple demonstration program called
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Size: 3549184 |
Author: 侯俊丞 |
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Description: 多项式拟合的C语言代码,可以用于各种数学计算,参数拟合等-Polynomial fitting of the C language code can be used for a variety of mathematical calculations and parameter fitting
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Size: 7168 |
Author: 宋耀鑫 |
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Description: 可以对于数据进行多次拟合,其功能就是Matlab的Polyfit函数-very useful for poly curve fit
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Size: 387072 |
Author: rocketCHEN |
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Description: 拟合直线 拟合直线 拟合直线 拟合直线 拟合直线 -polyfit the line polyfit the line polyfit the line
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Size: 427008 |
Author: z |
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Description: 关于曲线拟合的一些matlab例程
-polyfit matlab code
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Size: 94208 |
Author: humin |
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Description: 自己编写C语言实现polyfit曲线拟合-C language polyfit curve fitting
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Size: 560128 |
Author: 番茄西红柿 |
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Description: polyfit函数是matlab中用于进行曲线拟合的一个函数。其数学基础是最小二乘法曲线拟合原理。曲线拟合:已知离散点上的数据集,即已知在点集上的函数值,构造一个解析函数(其图形为一曲线)使在原离散点上尽可能接近给定的值。(The polyfit function is a function used in curve fitting in matlab. Its mathematical basis is the principle of least-squares curve fitting. Curve fitting: Known data sets at discrete points, known as function values on the point set, construct an analytical function (the graph is a curve) so that the original discrete point is as close as possible to a given value.)
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Size: 1024 |
Author: CHENCCCCC |
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