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在802.11.3a信道环境下，基于MB-OFDM UWB的仿真程序，很全。(At 802.11.3a channel environment, the MB-OFDM UWB based on the simulation program, it is wide.)

Binary tree genrarator up to four bit and same u can do after,Does the fourierseries. Code for manchester coding. Code for instantaneous code.SIMPLEsnr.

张正友相机标定matlab工具箱，很实用的，标定误差很小(ZhangZhengYou camera calibration matlab toolbox, is very practical, calibration error is very small )

Kmeans.m对UCI数据集中的鸢尾花数据集进行kmeans算法聚类, Iris.txt 鸢尾花数据集 KMeans.m 鸢尾花KMeans聚类算法代码 test1.m，test2.m 鸢尾花算法测试集 包含数据的归一化 DataNorm.m数据归一化代码，DataStandard.m数据标准化代码 恩达老师的MATLAB视频中的代码 code(Kmeans.m clusters the kmeans algorithm for the Iris dataset in the UCI dataset, Iris.txt Iris dataset KMeans.m Iris KMeans clustering algorithm code test1.m, test2.m Iris algorithm test set Normalized data containing dataNorm.m data normalization code, DataStandard.m data normalization code The code in the MATLAB video of Teacher Enda the code is the code in the video.)

《现代信号处理教程》中全部例子的Matlab仿真实现(" Modern signal processing tutorial example Matlab Simulation)

该程序可以对雷达回波数据进行处理，分帧画出数据的幅度分布图和相位分布图。(The procedure can be processed radar echo data amplitude of the data sub-frame to draw maps and phase distribution of Fig.)

该文件为一个仿射非线性系统控制Matlab_simulink仿真，其中包含完全精确线性化和局部精确线性化的仿真模型，还有word实验报告，涉及非线性控制的同学可以参看一下(The file is a system control Matlab_simulink affine nonlinear simulation, which includes completely accurate linear and precise partial linearization simulation model, as well as word lab reports, involving nonlinear control students can see what)

一种自适应滤波器的matlab算法，可用于仿真(An adaptive filter matlab algorithm can be used for simulation)

说明：  短时傅里叶变换的样例，时长1000，采样250，短时傅里叶变换STFT，短时傅里叶变换STFT，短时傅里叶变换STFT(Short time Fourier transform)

MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a comprehensive introduction to the basic theory and practice of wireless channel modeling, OFDM, and MIMO, with MATLAB
programs to simulate the underlying techniques on MIMO-OFDM systems. This book is primarily designed for engineers and researchers who are interested in learning various MIMO-OFDM techniques and applying them to wireless communications. It can also be used as a textbook for graduate courses or senior-level undergraduate courses on advanced digital communications. The readers are assumed to have a basic knowledge on digital communications, digital signal processing, communication theory, signals and systems, as well as probability and random processes.