搜索资源列表
Squre
- 使用最小二乘法的一次性计算公式来估计y(i) = b0 + b1 * x + b2 * x^2 + b3 * x^3 + ...... bn * x^n中b0, b1, ..., bn的值,并显示你和的曲线.-use of least squares method of the one-time formula to estimate y (i) = b0 b1 b2 * x * x ^ 2 b x ^ 3 * 3 * ...... bn x ^ n b0, b1, ..., bn value,
Squre2
- 对于多项式y(i) = b0 + b1 * x + b2 * x^2 + b3 * x^3 + ...... bn * x^n 用递推最小二乘法来估计上式中的b0, b1, ..., bn-for polynomial y (i) = b0 b1 b2 * x * x * b3 ^ 2 x ^ 3 ...... bn * x ^ n recursive least squares method used to estimate the on-belts, b1, ..., bn
RLS_Adaptive
- 该递推最小二乘算法的程序实现了自适应横向滤波的功能，基本满足一般滤波要求-recursive least squares algorithm for the realization of the horizontal adaptive filtering function normally meet basic filtering requirements
si_matlab
- 随机序列产生程序,白噪声产生程序,M序列产生程序,二阶系统一次性完成最小二乘辨识程序,实际压力系统的最小二乘辨识程序,递推的最小二乘辨识程序,增广的最小二乘辨识程序-random sequence generation process, white noise procedures for selecting the M series, Second-order system to complete a one-time least-squares identification procedur
LSeg1
- 最小二乘法辨识 对系统输入伪随即序列输入，得到输出， 加入噪声，模拟辨识过程-least squares method for identification system importing counterfeit immediately sequence input and output is, by adding noise to simulate the process of identification
succeed
- 卡尔曼的滤波跟踪程序，成功实现了最小二乘法的跟踪和IMM跟踪。-Kalman filter tracking procedures, the successful implementation of the least squares method of tracking and tracking IMM.
mregress
- 最小二乘法回归，输入因、自变量，输出回归系数，T值,R平方等-least squares regression, imports, since the variables, output regression coefficient, T, R-squared, etc.
mypls
- Partial Least Squares regression bilinear factor model 的输出源码-Partial Least Squares regression bilinea r factor model output FOSS
clscorse
- 约束最小二乘方法，是新方法！本方法主要解决状态突发事件！-constrained least squares method, the new method is! This method is mainly to solve the state of emergency!
fit2
- 最小二乘曲面拟合程序（m文件），对一组三维数据z=f(x,y)拟合，成为关于x和y的多项式-least squares fitting procedure Surface (m), a group of three-dimensional data z = f (x, y) fitting, be on the x and y polynomial
OptimizationTipsandTricks
- New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cel
SDPT3-4.0-beta
- SOStools is a toolbox dedicated for positive polynomial programming, especially for Sums of Squares (S0S). A lot of chinese researchers have carried it out as a main tool in this area.
Numerical_Computing_with_MATLAB
- Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe-
ncm
- Toolbox for Numerical Computing with MATLAB （by Cleve Moler). Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed u
Least-Squares-Ellipse-Fit
- MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码.附件中的源代码是matlab编写的，实现一种对于椭圆的稳定的数据拟合算法。当然必须要提供至少5个点的数据，椭圆x，y轴的中心点，最大轴最小轴
weighted_total_least_squares_approximation
- The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data an
Least-squares-fitting-standard-genetic-algorithm-m
- 遗传算法的metlab程序实现，是数学建模中重要的工具
预测系统
- 灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-
Plesm
- 这是一个关于最小二乘法的程序，可能有点问题，希望大虾帮忙看一下，急求。-This is one of the least-squares method of procedure, may have problems in the hope of tremendous help to see if promptly.
最小化l1范数的Matlab代码
- 最小化l1范数的Matlab代码。求解模型为： min lambda*|x|_1+||A*x-y||_2。其中，|x|_1表示x的1-范数，||*||_2表示2-范数。该模型在稀疏成分分析、压缩传感器等领域有广泛的用途。, l1-Regularized Least Squares Problem Solver l1_ls solves problems of the following form: minimize ||A*x-y||^2+ lambd