generate_synthetic_brain_dataxx

simulink下封装的混合高斯的s-funcion函数。用于模型模块的搭建。(simulink package under the Gaussian mixture of s-funcion function. The structures used to model the module.)

关于求解光在光纤中传播的非线性薛定谔方程的一些资料(Some information about solving the nonlinear Schrodinger equation of light propagation in the fiber)

This is BOC AWGN Simulation zip file. It contains one folder(build setting) and 9 files(m file, mdl files etc..) Thank you

一支持向量机有用的程序，希望对大家有用，我们一起学习进步。(A support vector machine useful procedure, useful for all of us hope that we learn and progress together.)

利用MATLAB编写的实现纹理图像的分割，但其只是针对部分图像可以达到很好的效果，不具有普遍适应性。(Prepared using MATLAB implementation of texture image segmentation, but only for the portion of the image can be achieved very good results, do not have universal adaptability.)

Single Input Multiple Outputs 16-QAM Simulation implemantation in matlab , and its final output .

这是国外人写的一本逆合成孔径雷达雷达（ISAR）成像的基础书，文中每章后带Matalb编写的源代码，对于学习新手非常有用。 (It is written by a foreign foundation book inverse synthetic aperture radar radar (ISAR) imaging, the text written in the source code with Matalb after each chapter, very useful for beginners to learn.)

遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。(Genetic algorithm is used to solve computational mathematics in optimizing search algorithm, an evolutionary algorithm. Evolutionary algorithm was originally borrowed evolutionary biology and developed a number of phenomena, these phenomena, including genetics, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a way of computer simulation. For an optimization problem, a number of candidate solutions (called individuals) abstract representation of the population (called chromosomes) to better solution evolution.)

这是基于傅里叶变化的压缩感知稀疏分解方法，使用的是匹配追踪算法，对初学者很有帮助(This is based on Fourier transform of compressed sensing sparse decomposition method, using the matching pursuit algorithm, useful for beginners)

Linear_system_2area modelling