tryMatrixEncoding

说明：  matlaby源程序 关于OFDM的系统性能分析 (matlaby source on the OFDM system performance analysis)

该程序是一个数值模拟程序，模型是新凯恩斯模型，该程序主要模拟在新凯恩斯模型中发生技术冲击，对经济变量的影响(The program is a simulation program, the model is New Keynesian model, the main simulation program occurred in the New Keynesian model of technological impact, the impact of economic variables)

一种基于小波的支持向量机程序 进行电网负荷预测(A progressive load forecasting based on wavelet support vector machine procedures)

用于解决人工智能中的八皇后的问题，是比较经典的问题，用matlab编程实现(Artificial intelligence used to solve the eight queens problem, the problem is more classic, with the matlab programming)

matlab非平稳信号噪声消除 小波变换(matlab denoise use wavelets)

说明：  此程序用于做全息实验时，先把全息图再现得到实像，在对实像双线差值，三内差值和中值滤波的办法来提高再现图质量(This program uses the difference between two-, three within the margin and median filtering approach to improving the quality of image scaling)

张小飞(南京航空航天大学） 阵列自适应信号处理的部分代码，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法 等(Xiaofei (Nanjing University of Aeronautics) adaptive array signal processing part of the code, including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm)

物理层的空时编码的MATLAB仿真程序，包含发射端、信道到接收端的所有源代码(space-time coding project)

matlab的工具箱的安装步骤： 1.解压下载的文件包，将tft/mfile复制到matlab的toolbox文件夹下 2.建立搜索路径，matlab->file->Set Path->Add Folder ->选择mfile文件夹复制到matlab的toolbox的路径->save->close 3.测试是否建立搜索路径成功，在matlab命令窗口打入：which fmsin 返回的结果是你放mfile的正确路径说明建立搜索路径成功。此时就完成了安装工具包的工作。 (matlab toolbox installation steps: 1. decompress the downloaded file package, which will tft/mfile matlab' s toolbox copy to folder 2. to establish the search path, matlab-> file-> Set Path-> Add Folder-> Select matlab mfile folder to the path of the toolbox-> save-> close 3. test whether the establishment of a successful search path, in the matlab command window enter: which fmsin return mfile result is you put the correct path to search path that create success. At this point the installation kit to complete the work.)

MATLAB function which creates a black and white version of a grayscale image by specifying a single threshold value pixels below this value become black, and above this value they are white. Usage: