Sparse-Recovery

Malthus_Model模型的原形，以及包括绘图的源代码。希望对正在学习的你有帮助。(Malthus_Model prototype model, and includes source code for the drawing. Hope you are learning to help.)

利用matlab、simulink 仿真 实现基带移相键控，并进行误码率分析，而且画出了输入输出两者的波形(Using matlab, simulink simulation of baseband phase-shift keying, and the bit error rate analysis, and draw the waveforms of both input and output)

字典学习的各种方法，K-SVD,online等主要的学习算法(Various methods dictionary learning, K-SVD, online learning algorithms and other major)

Matlab code for Localization for single mobile attack on wireless network.

These codes are about beamforming. receiver is like disc or ula.describtions are in m_files

这里是matlab的ppt教程，希望对大家有所帮助(Ppt Here is the matlab tutorial, I hope all of you to help)

利用 postreg函数可以对网络仿真的输出结果和目标输出作线性回归分析，并得到两者的相关系数，(Postreg function can use the output of network simulation results and the target output for the linear regression analysis, and with the correlation coefficient between the two,)

基于正则化转置的LDA matlab源代码，可以应用在人脸识别中，详细说明见readme(based Regularization home to the LDA Matlab source code, can be applied to face recognition, detailed explanation see readme)

利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。(K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.)

一款利用matlab编写的射线追踪程序，易改易用。(The installation of TTBOX is relatively simple. All you have to do is to create some directories and tell MatLab, where TTBOX is. if it does not already exist, create a directory matlab within your home directory. Copy the TTBOX directory into the matlab directory if it does not already exist, create a file startup.m within the matlab directory Insert the following lines into startup.m: basepath= This should be the path to your home directory! addpath([basepath filesep matlab filesep ttbox ],1) addpath([basepath filesep matlab filesep ttbox filesep support ],1) execute startup within the MatLab command window. MatLab is now ready to execute TTBOX routines. The startup-script will be executed automatically upon start of MatLab. In order to read the online documentation, you have to browse to the doc directory and open the ttbox/doc/ttbox.html file with your web browser (it is recommended to set a bookma)