DSPkeshe

利用Matlab仿真软件，完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号，映射到16QAM的星座图上，同时一路信号已经被分成了实部和虚部，后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器，再加入高斯白噪声，然后通过匹配滤波器（平方根升余弦滤波器）。最后经过采样，判决，得到0、1信号，同原信号进行比较，给出16QAM数字系统的误码。(Using Matlab simulation software, as shown in Figure 1 to complete a basic digital communications systems. Signal source such as arise over the distribution of 0,1 random signal, is mapped to 16QAM constellation diagram, at the same time all the way the signal has been divided into real and imaginary parts, behind the deal with the establishment of these two signals in the basis. Real part, imaginary part of the signal, respectively, after a square root raised cosine filter, then add white Gaussian noise, and then through the matched filter (square root raised cosine filter). Finally, after sampling, the verdict has been 0,1 signal, to compare with the original signal is given 16QAM digital system error.)

EM algorithm for k multidimensional Gaussian mixture estimation

MATLAB自带支持向量机函数应用，对脑电信号进行分类。实现脑电信号困倦和清醒两个状态的分类。(MATLAB support vector machine function application, the brain electrical signal classification. To realize the classification of the two states of drowsiness and wakefulness.)

guidlines to how to do ofdm in matlab

ccs中产生正弦和余弦相加的混合，使用fir滤波得到低频的正弦。滤波器系数由matlab计算。有文档(ccs generated sine and cosine mixed together, the use of low-frequency filtering fir Sine. Filter coefficients calculated by Matlab. Documented)

基于matlab的智能材料-记忆合金的应用，是个不错的源代码，具有一定的价值(Matlab-based smart materials- the application of shape memory alloy, is a good source code, has a certain value)

extends Activity Instrumentation Test Case2.

matlab 版本的LDPC码的译码工具包，很实用(LDPC decoding tollkit of MATLAB Version)

MATLAB在通信系统仿真中的应用，包括有通信仿真的一半步骤,通信系统模型及仿真实例.(communication systems in MATLAB simulation applications, including communication simulation half steps communication system model and simulation results.)

说明：  多目标规划的概念是 1961年由美国数学家查尔斯和库柏首先提出的。多目标最优化思想，最早是在1896年由法国经济学家V.帕雷托提出来的。他从政治经济学的角度考虑把本质上是不可比较的许多目标化成单个目标的最优化问题(The concept of multiobjective programming was first proposed by Charles and Cooper, American mathematicians, in 1961. The idea of multi-objective optimization was first put forward by the French economist v. Pareto in 1896. From the perspective of political economy, he turned many objectives that are essentially incomparable into optimization problems of a single objective)