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- 数字图像处理◆5.0 概述 ◆5.1 退化模型 ◆5.2 常见退化模型及辨识方法 ◆5.3 图像的无约束恢复 ◆5.4 图像的有约束最小二乘恢复 ◆5. 5 几何畸变图像的恢复 5.6 超分辨率图像复原-Digital image processing ◆ 5.0 Overview ◆ 5.1 Degradation Model ◆ 5.2 Common degradation model and identification method for n
systems_identification
- 系统辨识 matlab源程序 最小二乘辨识-systems identification
jiefangchengzhu
- 非线性最小二乘问题的修正高斯牛顿法;求解5元以下(含5元)的非线性(或线性)方程组-solve equation
d9000mpi3
- 对互谱法被动测距的原理及算法各个环节进行仿真验证:加权最小二乘估计中权系数的选取;相关窗长度的选取;各频段综合方法等等。最后实现了对9000m—15000m距离的测距-Cross-spectral method for passive ranging all aspects of theory and algorithms for simulation: weighted least squares estimation of the right of the selection coeffic
leastsquares
- 1. 一般最小二乘法 3 1.1. 一次计算最小二乘算法 3 1.2. 递推最小二乘算法 3 2. 遗忘因子最小二乘算法 6 2.1. 一次计算法 6 2.2. 递推算法 6 3. 限定记忆最小二乘递推算法 9 4. 偏差补偿最小二乘法 11 5. 增广最小二乘法 13 6. 广义最小二乘法 15 7. 辅助变量法 17 8. 二步法 19 9. 多级最小二乘法 21 10. Yule-Walker辨识算法 23 Matlab程序附录 24
zuixiaoercheng
- 最小二乘算法实现源代码.....^-Least-squares algorithm source code .....^^^^^^^^^^^ 66
fxzxec
- 实现了非线性最小二乘,并且又图像显示,可以直接运行-not-linear minimum two multiply
minSimpSearch
- 非线性最小二乘优化问题,经过试验很好用,有兴趣的可以-Nonlinear least squares optimization problem, after a test is useful, who are interested can try
MarkwardtIDL
- IDL版的Marquadt优化算法,可求解非线性最小二乘问题-MPFIT uses the Levenberg-Marquardt technique to solve the least-squares problem. In its typical use, MPFIT will be used to fit a user-supplied function (the "model") to user-supplied data points (the "da
ZJZXEC
- 在matlab中编程实现的正交多项式最小二乘拟合函数,调用格式:a=zjzxec(x,y,m)-In the matlab programming in the orthogonal polynomial least squares fitting function, call format: a = zjzxec (x, y, m)
lzxec
- matlab中编程实现的线性最小二乘拟合函数: lzxec:功能:离散试验数据点的线性最小二乘拟合-matlab programming in a linear least-squares fitting function: lzxec: Function: discrete experimental data points, the linear least-squares fitting
fit
- 该算法是用正交多项式来求最小二乘拟合多项式。-This algorithm is to use orthogonal polynomials to seek least-squares polynomial fitting.
pls
- 利用MATLAB软件实现偏最小二乘回归方程模型-use the soft of the MATLAB to calculate the partial least-squares regression
npls
- 偏最小二乘源代码,非常好用,很详细,有具体的求解过程-the process of calculate
gfd
- 此程序源码,讲述了递推最小二乘算法的具体实现过程,对于初学者具有重要的参考价值-This program source code, described the concrete realization of recursive least squares algorithm process, are an important reference value for beginners
cpslssvm
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
LSL
- LSL最小二乘方格型算法的自适应滤波程序及其应用-LSL least-squares grid-based algorithm for adaptive filtering procedures and its application
hpir
- 本程序用C++语言编写了最小二乘曲线拟合的程序,在VC2008环境中运行成功,并给出了一个实例。 // 输入 - X[n]、y[n] 拟合次数(几次的多项式) // 输出 - out[n](拟合后的节点值) dt[0]-累计平方误差 dt[1]-累计绝对误差 dt[2]-最大误差 // 输入 - X[n]、y[n] 拟合次数(几次的多项式) // 输出 - out[n](拟合后的节点值) dt[0]-累计平方误差 dt[1]-累计绝对误差 dt[2]-最大误差-this is a
RLS_data
- 利用matlab语言实现递推最小二乘算法,里面包含程序运行时的xls数据-Matlab language implementation using recursive least squares algorithm, which contains the program runs when the xls data
AutomatedNegotiatioDecisionModelasedonMachineLearn
- 模型利用协商历史中隐含的信息自动对数据进行标注以形成训练样本,用最小二乘支持向量回 归机学习此样本得到对手效用函数的估计,然后结合自己和对手的效用函数构成一个约束优化问题,用遗传算法求 解此优化问题,得到的最优解就是己方的反建议.实验结果表明,在信息保密和没有先验知识的条件下,此模型仍然 表现出较高的效率和效用-The proposed model labels the negotiation history data automatically by making full use