Klobuchar_Modelyuanshi

说明：  实现几何均值分解，应用在MIMO系统中实现于预编码(Achieve geometric mean decomposition, used in MIMO systems to achieve the pre-coding)

以典型汽车为例，实现汽车周围的气动环境数值模拟(Example of the typical automobile to achieve the aerodynamic environment around the vehicle simulation)

基于Matlab音乐的分类算法以及相应的代码，最后给出了DSP的实现系统框图(Matlab-based music classification algorithm and the corresponding code, and finally given the realization of DSP system block diagram)

可以用来产生复杂网络，复杂网络是现在研究热点。(can be used to produce complex networks and complex network is now hotspot.)

L5 autocorrelation function

计算1D单元刚度矩阵、单元刚度矩阵的组装、单元应力、单元节点力代码,用MATLAB学习FEM必须掌握的。(Bar1D1Node_Stiffness.m, Bar1D1Node_Assembly.m, Bar1D1Node_Forces.m, Bar1D1Node_Stress.m)

图论应用研究广泛，如最短路问题，最小生成树问题，最大费用流问题，最优匹配问题，网络可靠性问题，图的着色问题，最优序列设计问题，等等。这是一个强大而通用的基于matlab的工具箱 (Graph toolbox)

说明：  伪随机码或称PN码，是扩频通信中不可缺少的一种序列。扩频通信，简单的说来就是通过一组相关性很强的伪随机序列，使原有的信号按照伪随机序列的特性出现。从波形上看，原有信号完全淹没于随机的噪声中，达到隐藏信号和抗干扰的目的。接受方只要有相同的伪随机序列，就可以通过伪随机序列很强的相关性将信号还原出来。而m序列，是扩频系统中最长用的伪随机序列。下面的代码就是基于matlab的生成m序列的代码，通过改变初始多项式的值，就可以生成不同阶数的m序列。(Pseudo-random code or PN code, spread spectrum communication is indispensable to a sequence. Spread spectrum communication, a simple to say that the adoption of a group of highly related to pseudo-random sequence, so that the original signal in accordance with the characteristics of pseudo-random sequence there. From the wave point of view, the original signal completely submerged in the random noise to hide the purpose of signal and interference. As long as the recipient has the same pseudo-random sequence, the pseudo-random sequence can be a strong correlation to restore the signal out. And m sequence spread spectrum system is the longest of the pseudo-random sequence used. The following code is generated based on m sequences of matlab code, by changing the value of the initial polynomial, we can generate a different order of the m sequence.)

test upload please do not to use it.

雷达概述，雷达基本组成，雷达方程，雷达进展，雷达分类(Overview of radar, radar basic components, radar equation, radar progress, radar classification)