matlab-function-sorting

产生一m序列，其特征多相式:1+x^3+x^5,加扰序列c(k) 满足c(k)=a(k)+c(k-3)+c(k-5),对m序列进行加解扰(Create a m sequence is characterized by multi-phase type: 1+ x ^ 3+ x ^ 5, scrambling sequence c (k) to meet the c (k) = a (k)+ c (k-3)+ c (k-5), the m sequence Deinterference)

有详细的注释，用平面波展开法计算二维声子晶体带隙,利用matlab针对图像进行马氏距离计算 。( There are detailed notes, Computation Method D phononic bandgap plane wave, Using matlab to calculate the Mahalanobis distance for the image.)

说明：  果蝇算法性能测试函数，用于对算法优化进行相关测试，代码简洁，并进行了封装(The performance test function is used to test the algorithm optimization. The code is concise and encapsulated.)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

说明：  使用遗传算法优化PID参数，附原创教程及源码、试验数据及照片(PID parameters using genetic algorithm optimization, with tutorials and the original source code, test data and photographs)

QDPSK Communication Performance simulation

利用TI公司的C28X系列芯片进行数字信号滤波，有TI公司的filter库，需要利用C语言去调用汇编语言(With C28X series chip, you can make a digital signal filter. you need to use C language to call the assembly language)

fortran的matlab代码,可以将fortran仿真结果可视化(fortran matlab code, you can visualize simulation results fortran)

MATLAB画甘特图的源代码(MATLAB painting Gantt)

this application is elearning systen