MATLAB

该代码仅计算了一个101×101尺寸的Gabor函数变换，得到均值和方差。代码采用两种卷积计算方式，从结果中可以看出，快速傅立叶变换卷积的效率是离散二维叠加和卷积的近50倍。 (The code is only the calculation of a 101 × 101 size Gabor function transformation, the mean and variance. Convolutional code using two methods of calculation can be seen from the results, fast Fourier transform convolution efficiency are two-dimensional discrete convolution superposition and nearly 50 times.)

16QAM的映射图的比较 里面有没有进行信道估计的映射图 和进行了信道估计的映射图(Comparison of 16QAM mapping there are no plans for channel estimation for a map and map channel estimation)

说明：  二进制粒子群优化算法主代码， 其中bpso_project函数为特征子集评价函数， 对接自己的数据集与评价函数即可使用。(The main code of binary particle swarm optimization algorithm, in which the bpso_project function is the evaluation function of the characteristic subset, can be used by connecting its own data set and evaluation function.)

Rossler系统的反馈控制，将其从混沌状态控制到稳态(feedback control of Rossler system,this program control Rossler to steady state from chaotic state)

Linear Graph Embedding 函数形式，可以直接调用(Linear Graph Embedding functional form can be called directly)

说明：  雅克比迭代法求解方程组;雅克比迭代法就是众多迭代法中比较早且较简单的一种，其命名也是为纪念普鲁士著名数学家雅可比。雅克比迭代法的计算公式简单，每迭代一次只需计算一次矩阵和向量的乘法，且计算过程中原始矩阵A始终不变，比较容易并行计算。(Jacobian iterative method for solving equations Jacobi iteration is one of the earlier and simpler iteration methods, and its name is also in memory of Jacobi, a famous mathematician in Prussia. Jacobian iterative method has a simple calculation formula, each iteration only needs to calculate matrix and vector multiplication once, and the original matrix A is always the same in the calculation process, so it is easy to parallel calculation.)

数据分析与解方程，绘图，插值，拟合，以及一些经典的matlab算法程序(Data analysis and solution of equations, mapping, interpolation, fitting, as well as some classic algorithm matlab program)

说明：  基于鱼眼效果的产生图像，里面是比较简单的原理代码，方格图成像(Fish eye effect on the production images, which is a relatively simple principle of the code, grid map imaging)

说明：  中值滤波，形态学处理，对图像进行预处理，用的是中值滤波，形态学处理(Median filtering, morphological processing)

GMM estimation code for matlab