Description: 用得到的已知输入输出数据，通过编好的渐消记忆增广最小二乘辨识软件辨识已知系统的阶次与估计其参数，验证所编软件的正确性-known to be useful input and output data, through the provision of good memories fading by the least square identification software widely known identification system and the order of the estimated parameters, develops software to certify the correctness Platform: |
Size: 95232 |
Author:丁学明 |
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Description: 最小二乘的C语言程序－最小二乘原理学习参考的好例子。-Least-squares of C language programming- the principle of least squares learning a good example of reference. Platform: |
Size: 3072 |
Author:纪晓岚 |
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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 Platform: |
Size: 12288 |
Author:bilka |
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Description: 最小二乘拟合算法C程序，N为拟合点数，T为拟合阶数。-Least-squares fitting algorithm C procedures, N for the fitting points, T for the fitting order. Platform: |
Size: 1024 |
Author:唐荣 |
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Description: 为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法.
该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选
取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新
拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表
明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性,
同时保留了原算法的抗噪声能力.-: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed
to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2
lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three
windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge
whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of
ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced
to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images
containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he
improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces Platform: |
Size: 369664 |
Author:刘镖峰 |
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Description: fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution.
given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s
with parameter: s
format:result = fit_rayleigh_pdf( x,y,W,hAx )
input: y - vector, samples of the histogram to be fitted
x - vector, position of the samples of the histogram (i.e. y = f(x,a))
W - matrix or scalar, a square weighting matrix of the size NxN where
N = length(y), or 0 to indicate no weighting is needed.
hAx - handle of an axis, on which the fitted distribution is plotted
output: result - structure with the fields
s - fitted parameter
VAR - variance of the estimation
type- weighted LS or not weighted LS
iter- number of iteration for the solution-fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution.
given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s
with parameter: s
format:result = fit_rayleigh_pdf( x,y,W,hAx )
input: y - vector, samples of the histogram to be fitted
x - vector, position of the samples of the histogram (i.e. y = f(x,a))
W - matrix or scalar, a square weighting matrix of the size NxN where
N = length(y), or 0 to indicate no weighting is needed.
hAx - handle of an axis, on which the fitted distribution is plotted
output: result - structure with the fields
s - fitted parameter
VAR - variance of the estimation
type- weighted LS or not weighted LS
iter- number of iteration for the solution Platform: |
Size: 2048 |
Author:resident e |
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Description: 最
小二乘法通常用于曲线拟合(least squares fitting) 。
这里有拟合圆曲线的公式推导过程和vc 实现。-The least squares method is usually used for curve fitting (least squares fitting). Here is the derivation of the formula of the circular curve fitting and vc achieve. Platform: |
Size: 184320 |
Author:jimlank |
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Description: 实现对离散数据的最小二乘法拟合，得到多项式表达式-Least squares fit of the discrete data obtained polynomial expression Platform: |
Size: 1024 |
Author:施金金 |
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Description: this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image-this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image Platform: |
Size: 16384 |
Author:maryam |
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Description: 程序中的算法为使用最小二乘法拟合曲线，输入N个数据，可使用该程序拟合出N-1次的曲线函数，输出为函数各项的系数。-Program algorithm using a least squares fit curves N input data, you can use this program to fit the curve function N-1 times the output as a function of the coefficients. Platform: |
Size: 1131520 |
Author:李源 |
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Description: 利用最小二乘法将物体的轮廓拟合成椭圆形，返回椭圆的中心坐标，长短半轴的长度，取向，并画出拟合后的椭圆-Using least square method to fit the object outline of synthetic elliptic, return to the center of the ellipse coordinates, the length of the length of the half shaft, orientation, and draw the oval after fitting Platform: |
Size: 1320960 |
Author:韩十一 |
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Search - Least square fit