MorphologieMathematique

用于实现灰度图像阈值分割的一维otsu方法，matlab源程序(Used to achieve gray image threshold segmentation of the one-dimensional Otsu method, matlab source)

How to build affective mathematical models to understand the behaviors of serial crimes is an interesting research field in public security.

基于carsim的ABS simulink模型，采用PID控制，具有自动道路识别功能。

基于kaiser窗的双谱线插值FFT谐波分析，采用了小波去噪的思想，主要是基于mtlab的程序，包括调制，解调，信噪比计算，均值便宜跟踪的示例，微分方程组数值解方法，一些自适应信号处理的算法。( Dual-line interpolation FFT harmonic analysis kaiser windows, Using wavelet denoising thought, Mainly based on the mtlab procedures, Includes the modulation, demodulation, signal to noise ratio calculation, Example tracking mean cheap, Numerical solution of differential equations method, Some adaptive signal processing algorithms.)

自适应滑模控制器设计，针对姿态控制的自适应滑模(Design of adaptive sliding mode controller)

ML gradient descend ，Stanford course(machine learning ，Andrew Ng)

MATPOWER是MATLAB的M文件包® 求解潮流和最优潮流问题。它的目的是作为一个研究者和教育者，是易于使用和修改仿真工具。MATPOWER是设计给最佳的性能，同时保持代码的简单理解和修改。它最初是为POWERWEB项目的一部分。(MATPOWER is a package of MATLAB® M-files for solving power flow and optimal power flow problems. It is intended as a simulation tool for researchers and educators that is easy to use and modify. MATPOWER is designed to give the best performance possible while keeping the code simple to understand and modify. It was initially developed as part of the PowerWeb project. )

介绍一个如何用MATLAB中的限幅方法仿真PAPR(introduce a clrpping method to simulation PAPR)

这是一个基于matlab/RUNE环境的移动通信网络仿真程序包，用于科研或教学用途，可以仿真比较GPRS网络中的单播和组播的性能。(This is based on matlab/RUNE environment of mobile communication network simulation package, for scientific research or teaching purposes, you can compare unicast and multicast performance in GPRS network simulations.)

本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序(his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.)