CMA-4QAM

MATLAB DATAMINING COURSE CODE

FFT编程实例 进行FFT变换，显示频谱图 (FFT transform FFT programming examples show that the spectrum graph)

MMSE最小均方误差均衡仿真 可以方便的运行(MMSE matlab)

matlab开发GUI地震数据显示工具，可以作为地震处理人员学习地震处理的起点。matlab是基于矢量运算，而地震剖面就是一个矩阵。用matlab来处理地震数据，用于学习研究地震处理的方方棉面，实在是方便实用。(matlab seismic data show the development of GUI tools can be used as seismic processing, seismic processing to study the starting point. matlab is based on the vector operation, and the seismic profile is a matrix. Using matlab to handle seismic data for the study of seismic processing Fangfang cotton face, it is convenient and practical.)

简介：采用matlab完成了SAAB3010红外遥控板的编码发射显示，通过GUI界面可以清楚了解其发射编码格式，有助于红外遥控编解码的学习。 关键词：matlab SAA3010 红外遥控 GUI(Description: The complete SAAB3010 matlab coding infrared remote control panel emission displays, through the GUI interface can be a clear understanding of its launch encoding, decoding infrared remote control help learning. Keywords: matlab SAA3010 Infrared Remote Control GUI)

DSP tms320c6713: Example FFT with matlab

lte ofdm standards simulation

分形的练习一 ①Koch曲线 用复数的方法来迭代Koch曲线 clear i 防止i被重新赋值 A=[0 1] 初始A是连接（0，0）与（1，0）的线段 t=exp(i*pi/3) n=2 n是迭代次数 for j=0:n A=A/3 a=ones(1,2*4^j) A=[A (t*A+a/3) (A/t+(1/2+sqrt(3)/6*i)*a) A+2/3*a] end plot(real(A),imag(A)) axis([0 1 -0.1 0.8]) ②Sierpinski三角形 A=[0 1 0.5 0 0 1] 初始化A n=3 迭代次数 for i=1:n A=A/2 b=zeros(1,3^i) c=ones(1,3^i)/2 A=[A A+[c b] A+[c/2 c]] end for i=1:3^n patch(A(1,3*i-2:3*i),A(2,3*i-2:3*i), b ) patch填充函数 end (Fractal Exercise One The ① Koch curve Plural iteration Koch curve clear i to prevent i is reassigned A = [0 1] initial A is a connection (0,0) and (1,0) of the segments t = exp (i* pi/3) n = 2 n is the number of iterations for j = 0: n A = A/3 a = ones (1,2* 4 ^ j) A = [A (t* A+ a/3) (A/t+ (1/2+ sqrt (3)/6* i)* a) A+2/3* a] end plot (real (A), imag (A)) axis ([0 1-0.1 0.8])   ② Sierpinski triangle A = [0 1 0.5 0 0 1] initialized A n = 3 the number of iterations. for i = 1: n A = A/2 b = zeros (1,3 ^ i) c = ones (1,3 ^ i)/2 A = [A A+ [c b] A+ [c/2 c]] end for i = 1:3 ^ n patch (A (1,3* i-2: 3* i), A (2,3* i-2: 3* i), b ) patch filled function end)

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

Implementation of Particle Swarm Optimization Algorithm for solving continuous problem.