Description: 图像处理源代码，介绍了利用最小二乘法对BMP图像进行直线拟合的方法-image processing source code, introduced to the use of least squares to BMP images linear fitting method Platform: |
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Author:authority007 |
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Description: The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.-The module is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar- rotation algorithm is used to update the QR-factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill-conditioned problems, such as fitting Polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back- substitution Platform: |
Size: 57344 |
Author: |
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Description: 最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)，作實驗所得的數據亦常使用最小平方近似法來達成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項式作為近似函數，除了多項式之外，指數、對數方程式亦可作為近似函數。關於最小平方近似法的計算原理，請參閱市面上的數值分析書籍-least square approximation (least-squares approximation) to get a group of discrete (discrete) data point to the approximate function (approximating function), the experimental data are often using the least square approximation to reach a secret curve (curve fitting) . Outlined below are the least square approximation is used as a polynomial approximation functions, in addition to polynomials, the index several right formula may be used as a similar function. On the smallest square approximation calculation principles, please refer to the numerical analysis of the market books Platform: |
Size: 3072 |
Author:三米 |
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Description: 用最小二乘法求矩形区域上的N*M个数据点的拟合曲面。-Least square method for rectangular area on the N* M data points of the fitting surface. Platform: |
Size: 98304 |
Author:z |
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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: 曲线拟合程序，用最小二乘法实现，供大家参看-Curve fitting procedures, using the least square method to achieve, for all to see Platform: |
Size: 1024 |
Author:victor1302 |
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Description: 曲线最小二乘拟合方法，用最小二乘法拟合取向数据。可用数据点反求控制点。-Least squares curve fitting method, using least square method-oriented data. Reverse data points available control points. Platform: |
Size: 3072 |
Author:孙鑫 |
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Description: Delphi编写的最小二乘法的曲线拟合算法，使用形象的图像进行展示，可以方便的看到拟合的结果。-Delphi prepared by the least square method of curve fitting algorithms, the use of the image of the image display, it will be convenient to see the results of fitting. Platform: |
Size: 7168 |
Author:无尽愿 |
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Description: 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For weighted fitting, and estimated by least square method. It combines the traditional local polynomial fitting, locally weighted regression as well as strong robustness of the fitting process Platform: |
Size: 3072 |
Author:wanghuaqiu |
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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: This code is for the curve fitting with least square sense algrorithm. Using the measurment data, end-user can get the curve (1st order~ 4th order approximation) Platform: |
Size: 1024 |
Author:jay |
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Description: 利用最小二乘算法对一组坐标进行曲线拟合，其中包含了利用直接LU分解法解方程的算法代码实现。希望对用到数值计算的带来帮助。-The least square algorithm for fitting a set of coordinates, including the use of direct LU decomposition equations for the algorithm code to achieve. Want to use to bring numerical help. Platform: |
Size: 103424 |
Author:风流云散 |
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Description: Matlab实现最小二乘拟合.要求输入拟合点，输出拟合函数的系数并在同一坐标系下画出离散点和拟合曲线。-matlab has given a least square fitting algorithm.and given combine curve. Platform: |
Size: 14336 |
Author:李平 |
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Search - least square fitting