triangle

粒子滤波仿真程序，可以给初学者以帮助，程序中有详尽的解释(Particle filter simulation program, beginners can give to help, there is a detailed explanation on the program )

常规混整优化线性问题，采用GAMS编程，调用CPLEX实现Benders 分解(Conventional mixed-integer optimization linear problem, using GAMS programming, calling CPLEX to realize Benders decomposition)

从经典功率谱估计周期图法原理入手，从理论上分析了其存在的局限性，借助Welch算法对其进行修正。依靠Matlab强大的数值分析和信号处理能力，进行实验仿真，比较不同的窗函数，不同的数据长度对Welch法谱估计质量的影响，并分析了造成这些影响的原因。(The paper mainly introduces the principles of Periodogram method of classical PSD estimation,analyzes the deficiency of Periodogram method in theory,and makes use of Welch to amend Perodogram method. By the use of simulation in Matlab, the impacts of different window function and different lenghth of data on estimation quality of Welch are discussed and the reasons of the impacts are analyzed.)

Computes the circulant matrix of a vector.

这是在matlab编辑环境下开发的关于“数值分析”的实用程序。(This is developed under matlab editing environment on the " numerical analysis" utility.)

这是一个PID自动调节的程序，里面的PID自动调节算法很好的(This is a PID automatic adjustment procedures, which automatically adjust the PID algorithm good)

matlab example psmsm

基于神经网络的车牌识别matlab源码。好东西(License plate recognition based on neural network matlab source)

在MATLAB中求图像纹理特征，相控阵天线的方向图（切比雪夫加权），matlab程序运行时导入数据文件作为输入参数，合成孔径雷达（SAR)目标成像仿真，采用加权网络中节点强度和权重都是幂率分布的模型，采用了小波去噪的思想。( In the MATLAB image texture feature, Phased array antenna pattern (Chebyshev weights), Import data files as input parameters matlab program is running, Synthetic Aperture Radar (SAR) imaging simulation target, Using weighted model nodes in the network strength and weight are power law distribution, Using wavelet denoising thought.)

说明：  his work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.