ITD

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

这个是一个基于matlab实现傅里叶变换的一个小的程序，共大家学习使用。(This is a matlab-based Fourier transform to achieve a small program, we were learning to use.)

果蝇算法的matlab编程实现，函数优化来测试(Drosophila algorithm matlab programming, function optimization to test)

关于神经网络算法的展示代码 有matlab与c#两种实现方式(Show on neural network algorithm matlab code has two implementations with c#)

matlab 数值积分工具箱 里面有具体说明。NIT(matlab numerical integration toolbox there are specific instructions. NIT)

本代码是用四种不同的算法来实现多项式求和。(This code is used four different algorithms to achieve polynomial sum.)

关于系统和信号的处理方面关系的重要应用之类的(On the system and signal processing aspects of the relations of important applications like)

Poisson过程的理论，了解排队系统中顾客到达速率、平均队长、等待时间等概念，实现，分析参数变化对排队系统的影响。(suijiguocheng poisson processing )

分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。(The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used for classification as well as for function estimation. The function plotlssvm displays the simulation results of the model in the region of the training points.)

matlab实现对ofdm系统的整体仿真，适合初学ofdm的人员(Matlab implementation of the overall simulation of the OFDM system, suitable for the beginners of OFDM)