一个好用的实现串口的数据采集例程

adaboost算法,当今最快的分类算法,基于matlab的源代码(AdaBoost algorithm, the fastest of today)

根据有无固定基础设施，无线局域网又可分为BSS (Basic Service Set)和IBSS (Independent Basic Service Set)。我们要研究的ad hoc网络属于后者。假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (According to the availability of fixed infrastructure, wireless local area network can be divided into BSS (Basic Service Set) and IBSS (Independent Basic Service Set). We have to study the ad hoc network belong to the latter. Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

非下采样contourlet变换用于图像降噪，多尺度几何分析的应用。 (Contourlet transform non-down-sampling for image noise reduction, multi-scale analysis of the application of geometry.)

丢番图方程求解，在广义预测控制中经常使用到，使用多次迭代求解。(Diophantine equations in generalized predictive control is often used to use repeatedly iterative solution.)

电极系测井曲线 用matlab编写的用于学测井同学用(Electrode system logs using matlab for students with learning logs)

这是一篇用MATLAB编写的PSO用法的源码 介绍了改进的PSO的用法(This is the one with the usage of MATLAB source code written in PSO introduced the usage of the improved PSO)

双绞线串扰仿真模型研究Simulation model of twisted-pair crosstalk(Simulation model of twisted-pair crosstalk)

二次采样以确定像素间的相关性，然后对两个采样结果同时嵌入水印，利用的是倒谱变换(second sampling to determine the correlation between pixels, then the two sampling results also embedded watermark, make use of Cepstrum)

对欧进萍《结构振动控制——主动、半主动和智能控制》书中2.6节算例的matlab代码(OU Jin-ping quot structural vibration control- active, semi-active and intelligent control quot book 2.6 example matlab code)

非常好的学习KNN算法的，能全面掌握关于KNN算法的原理，实现等(Very good learning KNN algorithm, can fully grasp on the principle of KNN algorithm, implementation, etc )