recognition

OFDM仿真利用MATLAB，对于初学OFDM系统的很有帮助(OFDM simulation using MATLAB, very helpful for beginners OFDM system)

The-Quake-III-Arena-Bot AI

说明：  This code is related to the course Digital Communications. It simulates a communication system which uses AWGN and 16QAM

介绍了2PSK/4PSK仿真情况，能够显示出波形(Introduction of 2PSK /4PSK simulation, can display the waveform)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

uwb无线电基础代码，第八章，超宽带信道与接收机，共四个程序。(based on UWB radio code, Chapter VIII, ultra-wideband channel with the receiver, a total of four procedures.)

QPSK调制解调的系统仿真实验，介绍了如何用matlab对其仿真(QPSK modulation and demodulation of system simulation experiments, describes how to use their simulation matlab)

图像处理读入图像序列，可以读入20张图像每次，只要你设定参数(Read image processing image sequences, can be read into the 20 images each, as long as you set the parameters)

基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换(This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform to sparse the image signal and then uses the orthogonal matching pursuit algorithm for reconstruction.)

signal sparcification toolbox