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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
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多项式最小二乘法
三弯矩插值法
lagrange多项式插值
多项式最小二乘法
龙贝格积分法
分段线性插值
三转角插值
这些是数值分析中常用的集中经典方法,运用matlab展示出来!-least squares polynomial interpolation three Moment Hangzhou polynomial interpolation polynomial least-squares method Long Bagby integration piec
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DotNet版的线性方程的解法,包括:高斯消元法,用于n阶非奇异矩阵;SVD分解法,求最小二乘解.目前还很难找到免费的DotNet版的数值计算程序.这里有源码(J#)和dll文件.-Kind version of the linear equation solution, including : Gaussian Elimination Act, for order n nonsingular matrix; SVD decomposition method, least squares sol
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DotNet版的线性方程的解法,包括:高斯消元法,用于n阶非奇异矩阵;SVD分解法,求最小二乘解.目前还很难找到免费的DotNet版的数值计算程序.这里有源码(J#)和dll文件.-Kind version of the linear equation solution, including : Gaussian Elimination Act, for order n nonsingular matrix; SVD decomposition method, least squares sol
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用C写的可以实现求解满秩线性方程组以及最小二乘曲线拟合的函数-written in C can be achieved full rank solving linear equations and least-squares curve fitting the function
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标准C写的数据直线拟合,最小二乘法处理,自己写的-write C standard linear data fitting, least squares method, wrote it myself
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最小二乘法的例程,可以对数据进行线性拟合.由于源码较短只能进行直线拟合,曲线拟合的源码我稍后上传.-least squares method of programming, with the linear data fitting. As the only source for a shorter fitted to a straight line Curve fitting, I later upload source.
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mimo-ofdm系统基于梳状导频的信道估计,使用最小二乘法,线性内插。-mimo - ofdm system based on comb-Pilot channel estimation, the use of least squares linear interpolation.
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在Matlab/Simulink构造一缓慢时变线性系统。试根据系统的输入生产数据分别用带遗忘因子最小二乘法和广义最小二乘法辨识系统的参数。-in Matlab / Simulink constructed a slow time-varying linear systems. Examination under the input production data were used to bring the forgotten factor method of least squares and
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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 Matri
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最小二乘拟合空间直线,和单独的误差计算函数-Linear least squares fitting space, and a separate error calculation function
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this the c++ code to solve the a ball heart with the linear least Squares -this is the c++ code to solve the a ball heart with the linear least Squares
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切比雪夫 用切比雪夫多项式逼近已知函数
勒让德 用勒让德多项式逼近已知函数
帕德 用帕德形式的有理分式逼近已知函数
lmz 用列梅兹算法确定函数的最佳一致逼近多项式
ZJPF 求已知函数的最佳平方逼近多项式
方舟子 用傅立叶级数逼近已知的连续周期函数
事实上的部队 离散周期数据点的傅立叶逼近
SmartBJ 用自适应分段线性法逼近已知函数
SmartBJ 用自适应样条逼近(第一类)已知函数
multifit 离散试验数据点的多项式曲线拟合
LZXEC 离散
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The module LSQ is for unconstrained linear least-squares fit-The module LSQ is for unconstrained linear further- squares fit
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对目标函数的松弛变量引入一个参数μ,优化基本的最小二乘一类支持向量机算法。同样是解决线性问题,避免了二次规划的复杂问题(A parameter min is introduced into the relaxation variable of the objective function, and the basic least squares support vector machines algorithm is optimized. It also solves the linear pr
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RLS 递归最小二乘滤波器算法!!!!!!!!!!!!!!!!!!!!!(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in
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由于测量矩阵和方位噪声之间的相关性,我们已知的发射极定位的线性最小二乘算法,如伪线性估计器,具有较大的估计偏差。本文提出了一种新的基于闭型的发射器定位算法,该算法克服了这种偏倚,利用了比定位估计的辅助变量。通过计算机模拟,新算法的性能优于伪线性估计器,同时具有与计算成本更高的极大似然发射器相同的性能。(Because of the correlation between the measurement matrix and azimuth noise, we have known that th
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递归最小二乘(RLS)是一种自适应滤波算法,它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较,例如最小均方(LMS),旨在减少均方误差。在RLS的推导中,输入信号被认为是确定性的,而对于LMS和类似的算法,它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
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%LSQCURVEFIT solves non-linear least squares problems.
% LSQCURVEFIT attempts to solve problems of the form:
% min sum {(FUN(X,XDATA)-YDATA).^2} where X, XDATA, YDATA and the values
% X returned by FUN ca
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文档详细描述了几种用于解决非线性最小二乘问题的方法,包含详细的数学推导及描述。
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