yuyin

显性解偏微分matlab，包括三维图形，具体方式(explicit approach for PDE in matlab)

literature survey-underwater pipeline tracking

利用基本蚁群算法完美解决了31城市最短路径问题，matlab上完全可以运行成功(The basic ant colony algorithm perfect 31 cities to solve shortest path problem matlab can run successfully on)

一种现代智能优化算法 ，利用群体智能，全局搜索能力强(A modern intelligent optimization algorithms, the use of swarm intelligence, global search ability)

说明：  径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

DIGITAL SIGNAL PROCESSING ADVANCED PROGRAMS MATLAB WITH OUTPUTS

WCDMA仿真附完整程序源码，各个功能模块，可运行(WCDMA simulation with complete program source code, the various functional modules can be run)

基于自适应算法的系统模型识别，本程序中使用低通FIR滤波器模拟未知系统，可以变换未知系统。输出系统的幅频特性曲线(Recognition system based on adaptive algorithm model, using low pass FIR filter is simulated in this program the unknown system, can change the unknown system.Output system of amplitude frequency characteristic curve)

用德鲁德模型计算超导材料石墨烯的介电常数和电导率(Calculated using superconducting material graphene permittivity and conductivity Drude model)

fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian (each mean is a 2x1 vector) covar - fitted covariance for each gaussian. this is a 2x2xM matrix. t - probability of each gaussian in the complete distribution iter - number of iterations done by the function