全部的利用最小二乘算法实现对三维平面的拟合，matlab源代码

Matlab动力系统和时间序列分析工具箱:这个工具箱用来分析动力系统和时间序列，它可以定制为：常微分方程、随机微分方程。所有分析的方法被封装在工具箱中，你可以通过命令行或GUI来调用。包含的功能： ODE常微分方程, SDE随机微分方程和map integration 分析时间序列，过滤、归一化/均衡化、直方图、2D直方图、ACF, MAI, FFT,最大lyapunov指数计算、模式识别。 动力系统分析：创建Poincare截面、分岔图、计算lyapunov指数。(The kit used to analyze the power systems and time series, it can be customized as: ordinary differential equations, stochastic differential equations. All analysis methods are encapsulated in the toolbox, you can call the command line or GUI. Includes features: ODE ordinary differential equation, SDE Stochastic Differential Equations and map integration analysis of time series, filtering, normalization/equalization, histogram, 2D histogram, ACF, MAI, FFT, the maximum lyapunov index, pattern recognition . Power System Analysis: Creating Poincare section, bifurcation diagrams, calculations lyapunov index.)

Código que implementa modulaç ã o PAM com sample-and-hold

元胞自动机的STNS双车道模型，用于仿真道路交通流(Cellular automata STNS two-lane model for simulation of traffic flow)

ITU-R国际降雨衰减预测模型,信道建模，仿真，降雨衰减预测 (ITU-R International rain attenuation prediction model, channel modeling, simulation, rain attenuation prediction)

8 papers on Doppler radar system design on the basis of different measurement models, selected from the most recent publications in the current decade, for researchers reference.(Doppler radar system design are mainly concerned within these papers, for scholar s better understanding and further research on this topic.)

图像的仿射变换，共包括4个文件，全都是matlab文件，分别为affine.m,grad.m,wrap.m,paremetric.m：，对于图像仿射变换以及图像的超分辨率重构非常有帮助。(image affine transformation, including a total of four documents, and all of Matlab documents, affine.m respectively, grad.m, wrap.m, paremetric.m :, for the affine transformation and the image of the super-resolution image reconstruction have been very helpful.)

Just a few functions used in my other toolboxes, for computing MSE and PSNR and some other less common image quality metrics.

Solving ODEs with Matlab: Instructor’s Manual

matlab由浅到深的解析，源码都有，很好的初学者学习资料(matlab from shallow to deep parsing, source code has, very good information for beginners to learn)

说明：  K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。(K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.)