Search - linear least square

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[GDI-Bitmap] 最小二乘法直线拟核源代码 DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : authority007
[Algorithm] lsq DL : 0: 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
Update : 2025-02-19 Size : 56kb Publisher :
[matlab] PTbox DL : 0: Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.-Prony algorithm toolbox. Prony method is used for a group of items to be linear combination of distance and other data sampling methods be able to analyze the signal amplitude, phase, the damping factor, frequency, and other information. Considerations including data preprocessing , model order selection, model order selection criteria. signal subspace selection, signal and noise separation, root inspection and assessing residuals. The P Tbox provides flexibility to compare and displ ay analysis results simultaneously for severa l parameter variations.
Update : 2025-02-19 Size : 686kb Publisher : 张恩理
[Other] ls-fitting-C DL : 0: 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.
Update : 2025-02-19 Size : 3kb Publisher : 纪晓岚
[Algorithm] work DL : 0: 一元线性回归算法，计算斜率并输出结果。主要采用最小二乘法。-Linear regression algorithm, calculation of slope and output. Mainly uses the least square method.
Update : 2025-02-19 Size : 21kb Publisher : 黄瑞生
[Algorithm] SVD DL : 0: ％奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法，％但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵，％而S代表一对角矩阵。和QR分解法相同者，原矩阵A不必为正方矩阵。％使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解- Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution
Update : 2025-02-19 Size : 3kb Publisher : zhxj
[Speech/Voice recognition/combine] gsl-1.10.tar DL : 0: GNU科学计算函数库GSL（GNU Scientific Library）是一个强大的C/C++数值计算函数库，它是一个自由软件，是GNU项目软件的一个部分，遵循GPL协议。函数库提供了大量的数值计算程序，如随机函数、特殊函数和拟合函数等等。整个函数库大约有1000多个函数，几乎涵盖了科学计算的各个方面。以下是整个函数库的目录： Complex Numbers Roots of Polynomials Special Functions Vectors and Matrices Permutations Sorting BLAS Support ， BLAS（Basic Linear Algebra Subprograms） Linear Algebra Eigensystems Fast Fourier Transforms Quadrature Random Numbers Quasi-Random Sequences Random Distributions Statistics Histograms N-Tuples Monte Carlo Integration Simulated Annealing Differential Equations Interpolation Numerical Differentiation Chebyshev Approximation Series Acceleration Discrete Hankel Transforms Root-Finding Minimization Least-Squares Fitting Physical Constants IEEE Floating-Point -err
Update : 2025-02-19 Size : 2.71mb Publisher : 贺强
[Other] DataANanly DL : 0: 提供矩阵以及向量的各种运算，线性方程组的求解，二次曲面的插值和逼近，最小二乘法等数值分析计算工具-Provide a variety of matrix and vector operations, linear equations, quadratic surface interpolation and approximation, the least square method such as numerical analysis and calculation tools
Update : 2025-02-19 Size : 2.04mb Publisher : bh
[Algorithm] least_square_fitting DL : 0: 线形最小二乘法拟合。用一个一般的X的幂级数来拟合。-Linear least square method. X with a general power series to fit.
Update : 2025-02-19 Size : 1kb Publisher : 姜梦
[Graph program] line DL : 0: 用于直线检测的基本工具，点到直线公式，以及最小二乘法原理等等！-For line detection of the basic tools, points to the linear formula, as well as the principle of least square method and so on!
Update : 2025-02-19 Size : 1.77mb Publisher : 姜利
[matlab] MultiSolverFolder DL : 0: Sometime we need to solve a bunch of small linear (least-square) systems of the same size. This function can accomplish this task conveniently.
Update : 2025-02-19 Size : 5kb Publisher : Pippo
[matlab] pls DL : 0: 所谓偏最小二乘法，就是指在做基于最小二乘法的线性回归分析之前，对数据集进行主成分分析降维，下面的源码是没有删减的，GreenSim团队免费提供您使用，转载请注明GreenSim团队（http://blog.sina.com.cn/greensim）。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis prior to the data sets of principal components analysis dimensionality reduction, the following source code is not deleted, GreenSim team, you are free to use, reproduced please note Ming GreenSim Team (http://blog.sina.com.cn/greensim).
Update : 2025-02-19 Size : 2kb Publisher : biebietuo
[matlab] the-least-square-error-algorithm DL : 0: 线性分类器-最小平方误差算法，对一组数据进行分类，分析b1、b2改变对结果的影响-Linear classifier- the least square error algorithm
Update : 2025-02-19 Size : 2kb Publisher : 韩倩倩
[matlab] compls DL : 0: to compares two least-square linear regression
Update : 2025-02-19 Size : 2kb Publisher : samer
[VHDL-FPGA-Verilog] LinPF_RLS DL : 0: VHDL code for linear prediction filter based on RLS (recursive least square). Filter order is set to 4, bit precision set to 12 bits for input and output. Signals are complex signals.
Update : 2025-02-19 Size : 5kb Publisher : 徐滨
[matlab] fit_rayleigh_pdf DL : 0: 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
Update : 2025-02-19 Size : 2kb Publisher : resident e
[Algorithm] least-square-method-using-c-language DL : 0: 该程序通过依次输入已知点个数n，输入已知点的X坐标，输入已知点的Y坐标直接得到经最小二乘法拟合得到的一元线性方程。-The procedure followed by the number of known points in the input n, enter the coordinates of a known point X, Y coordinates of a known point input directly from the least squares fitted by a linear equation.
Update : 2025-02-19 Size : 5kb Publisher : 王帅
[matlab] LeastSquare DL : 0: constrained linear least square implementation
Update : 2025-02-19 Size : 2kb Publisher : enjoyimi
[Algorithm] VB(The-least-square-method) DL : 0: 多点采样的最小二乘法直线拟合算法vb编程.-The least square method, linear fitting.
Update : 2025-02-19 Size : 1kb Publisher : tom
[Algorithm] total-least-square DL : 0: 加权总体最小二乘算法在直线拟合拟合的应用，算法为方兴博士论文中的算法1-total least square linear fitting
Update : 2025-02-19 Size : 1kb Publisher : 邓小y

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