AdvancedPIDControlandMATLABSimulation

matlab 编程基础 C语言入门和C++基础 源自 美国密西根大学(Matlab Programming Fundamentals C language entry and C++ basis from the University of Michigan)

关于相参积累和非相参积累的MATLAB仿真(Coherent integration and noncoherent Simulation)

CFO的估计，对基于CP的CFO，Moose,Classen方法的MSE进行比较分析(CFO estimate, based on the MSE CP CFO, Moose, Classen method of comparative analysis)

说明：  使用matlab制作SLM的会聚球面波相位全息图，欢迎大家借鉴(The use of MATLAB to produce SLM phase hologram of convergent spherical wave is welcomed for your reference.)

matlab中的蚁群算法仿真程序，ACO，经典(the procedures of ACO which is compiled by matlab)

matlab code that calculate stiffness matrix and ...

The brief idea of the algorithm is that every image s pixel is set to black if its brightness is T percent lower than the average brightness of the surrounding pixels in the window of the specified size

这里面有两个程序，两个都是采用4QAM调制。不过个人觉得第一个更容易懂，因为写的很有条理。我改的那个程序就是根据这个来的。 不过在这里面有个问题就是信道系数只能是由高到低，大家可以试试，改成[0.227 0.46 0.688 0.46 0.227]这个是老师给我的仿真中常用的信道系数，这个成为归一化信道，就是系数平方和为1. 第二个程序没有涉及到信道系数，但是这个程序当中，在128个子载波中，前后有32个空载波，这个在OFDM中也是经常用的，这样可以降低误码率。 (And there are two programs, two are based on 4QAM modulation. But personally feel that the first is easier, because the writing is organized. I changed that procedure is based on the past. However, there is a problem in that there is only channel coefficients from high to low, we can try and change into [0.227 0.46 0.688 0.46 0.227] This is the teacher gave me the simulation channel coefficient commonly used, this became normalized channel, is coefficient of the square and is 1. The second program is not related to channel coefficients, but this program which, in the 128 sub-carriers, the before and after the 32 air carriers, the in OFDM is also often used, which can reduce the error rate.)

设计的软件锁相环的例子，自己写的，根据原理编的(PLL design example of software that he wrote, according to the principle for the)

说明：  提供MATLAB的学习基础文件，对这方面入门的学生有很大帮助，值得学习(The study provided based on MATLAB, the introduction of this document has very great help students, it is worth learning )