Nodos_EL_2

读取雷达基础数据，将它保存在二进制文件中，然后可以通过读取基数据文件直接画图(Read radar base data, save it in a binary file, then you can read the base data files directly drawing)

A mathematical Introduction to Robotic manipulation Richard M. Murray

ace Detection Program for MATLAB 2013a using Gabor Feature Extraction and Neural Networks ---------------------------------------------------------------- 1- copy all files and directories to the MATLAB s work folder * In order to run the program you must have Image Processing and Neural Networks Toolboxes 2- (Important) Navigate to the root folder which contains "main.m". 3- Type "main" or "run main" in the command window 4. Only fort the first time, the program creates Gabor filters and stores them in ./data/gabor.mat Training set dataset and stores it in ./data/imgdb.mat Neural Network and stores it in ./data/net.mat 5- imgdb is short for "image data base". 6- When the program menu appears click on "Train Network" and wait until the program is done with the training

ofdmaz自适应资源分配，SIPS04Main.m为主程序，直接运行即可获得结果(ofdmaz adaptive resource allocation, SIPS04Main.m-based procedures, to receive the results of the direct operation)

ＭＩＭＯ－ＯＦＤＭ系统仿真，包括了接收端与发射端的分集，各种复用技术(MIMO-OFDM system simulation, including a receiver and transmitter sub-sets, a variety of multiplexing)

旅行商的问题，用遗传算法来求的最优解，用matlab来实现。(Traveling salesman problem, using genetic algorithms to seek the optimal solution, using matlab to achieve.)

说明：  混沌工具箱 C-C方法计算时间延迟和嵌入维数 混沌时间序列预测(Chaos Toolbox CC method to calculate time delay and embedding dimension of chaotic time series prediction)

说明：  这是一个matlab程序用于构建人工神经网络模型，可以随意设置层数和单元个数！(This is a matlab program for building artificial neural network model can arbitrarily set the number of layers and units!)

power_thyristor.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_thyristor.rar.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

The DSI method is basically a modified SLM method. The additional aspect of the DSI method is to add M-bits dummy sequences to the original sequence in order to reduce the PAPR. Where, the dummy bits are inserted at the end of the data sequence (y). Next, after IFFT, we select the M-DSI sequence having the lowest PAPR.