chap5

很好的OFDM的基于MATLAB的仿真程序包，且包含了最终结果图.(montecarlo type montecarlo in the command window and wait for a long time.. _simulation of the complete OFDM system. _use of a very large file in order to get probabilities. _loop over different value of the noise. _compute the SNR for each value of the noise. _provide the SNR/BER plot. if you are in a rush : simulation_system !! go into the right folder and type simulation_system in the command window. _then type the value of the noise power (range = [-20,10]) _the function provides the channel estimation, the bit allocation, and a plot illustrating the errors. _this is a fast function (less pilot, no synchronization, small file).)

使用补偿法对电力系统进行静态安全分析的MATLAB编程语言(Static security analysis)

Reflection Coefficients for an Air-to-Glass Interface

emd 代码程序 音频信号的采集和分解，用来做经验模态分解实验。(emd-code program audio signal acquisition and decomposition, used as empirical mode decomposition experiment.)

粒子滤波。可用于天气预测、故障预测、人脸视频追踪等。(Particle Filter Face Video Tracking)

MATLAB的PPT格式的讲义 希望大家能用得上 (MATLAB s PPT format handouts hope everyone can be useful)

计算功率谱的一些程序，包括ESPRIT算法，MUSIC算法和PISARENKO算法(Some of the power spectrum calculation programs, including ESPRIT algorithm, MUSIC algorithm and PISARENKO algorithm)

说明：  turbo coding and simulation part 3

一个用matlab编写的用公式算法解决微波网络中的双支节匹配的问题(An equation using matlab algorithm to solve microwave network using the double-stub matching problem)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)