MATLAB0002

阵列信号处理的工具箱，可以建立天线和分析接受信号(Array signal processing toolbox, you can create an antenna to receive and analyze signals)

简单的matlab画标定板程序，用以生成像素级的标定模板，直接打印，避免了其他方法画出标定板产生虚边的问题。(Simple matlab drawing board calibration procedure to generate a pixel-level calibration template, print directly, avoiding the other methods to draw the calibration panels to generate virtual edge issue.)

ER,WS和BA网络模型生成算法的matlab实现(ER, WS and BA network model generation algorithm of matlab )

说明：  软测量氧含量原始数据分工况聚类函数及代码(Raw data measuring oxygen content in the soft state clustering functions and code division)

Digital temperature sensor and thermal watchdog(Measures temperatures from –55 °C to+125 °C (–67 °F to+257 °F) – ±0.5 °C (typ) accuracy – ±2 °C (max) accuracy from –25 °C to+100 °C ■ Low operating current: 75 μA (typ) ■ No external components required ■ 2-wire I2C/SMBus-compatible serial interface – Selectable serial bus address allows connection of up to eight devices on the same bus)

mat lab code .. applying pca on any matrix of matlab. feature vector will give the featuevector change the dimentional matrix

使用MATLAB实现异步粒子群算法，通俗易懂(APSO algorithm)

本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同(In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method)

基于JPcap的ip数据包的分析，详细讲解了完成数据捕获分析的过程，其中包含了JPcap基本类的使用 (Based on the analysis JPcap ip packet detail on the completion of the analysis of the data capture process, which includes the use of the basic classes JPcap Analysis of IP data packet based on JPcap, explain in detail the process of data capture and analysis, including the use of JPcap basic class)

Matlab tutorial file