搜索资源列表
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.
SpectAnalisis
- 通过最小二乘法及SVD-TLS法对同一谱进行了功率谱分析，并比较了不同阶数下，最小二乘法的效果-By least-squares method and SVD-TLS method to the same spectra of the power spectrum analysis, and compare the number of different bands under the effect of least-squares method
MNK
- This program is designed to find the parameters of the method of least squares, building eksperimetalnyh and theoretical curves for to assess the quality of approximation for propagation occurs trend of all their characteristics: propagation time,
M-sequence-signal
- M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。-M sequence signal simulation algorithm for identification in the sy
RLS
- 自己编写的递推增广最小二乘算法，有意者可以参考-I have written Recursive Extended Least Squares algorithm, Interested parties can refer to the
pls
- 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 pr
Least_Squares_optimal_affine_subspace
- 最小二乘优化算法。Matlab源码，直接可以使用。-Least Squares optimal affine subspace The zip includes: (1) lsqAffineSpace: a low level routine that takes a set of m-dimensional real sample data and returns the optimal-fit k-dimensional affine subspace, with some
Leastsquaresfitting
- 采用最小二乘逼近作为拟合实验数据的方法,利用F检验,确定实验数据拟合优度及最佳阶数,用编制的程序来拟合实验数据,得到了较好的结果-Least-squares fitting
PLS_text_wold
- The PLS method -- partial least squares projections to latent structures -- and its applications in industrial RDP (research, development, and production).-The PLS method-- partial least squares projections to latent structures -- and its appli
CSRC_linux386_LS-SVMlab1.5.tar
- linux下matlab可用的最小二乘法支持向量机ls-svm，c语音代码。-matlab under linux available method of least squares support vector machine ls-svm, c voice code.
list2
- 基于最小二乘的matlab的wsn的节点算法源程序。用三角测距原理-Based on least-squares algorithm matlab source of wsn nodes. Ranging triangular theory
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
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
tuoyaun
- MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码-MATLAB implementation of the ellipse fitting based on least-squares algorithm for the source code directly
inversion
- 核磁共振地下水探测反演软件,模拟退火法,最小二乘法-MRI detection of groundwater inversion software, simulated annealing method, least-squares method
polynomial
- Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN
NIPALS
- function calculates matrices of scores and loadings using NIPALS algorithm (Nonlinear Iterative Partial Least Squares)
LSCMA
- 本程序用于仿真LSCMA(最小二乘恒模)算法用于自适应波束形成时的波束方向图-This procedure for simulation LSCMA (least-squares constant modulus) algorithm for adaptive beamforming when the beam pattern