MATLAB

数字伺服系统MATLAB仿真，使用simulink做的，PID控制(ACMmodelnps.mdl MATLAB example，PID CONTROL)

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

matched filter based spectrum sinsing in cognitive radio networ

HVDC Transmission System

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

matlab插值与拟合，有PPT演示功能，还有相应源码文件(matlab interpolation and fitting, with PPT presentation capabilities, as well as the corresponding source file)

模板法实现图像锐化，《计算机图像处理与识别技术》源代码 (model image sharpen)

高通滤波器的matlab实现具体源代码，数字图像处理处理中最常用的高频提取方法。(High-pass filter matlab source code to achieve specific, processing of digital image processing to extract the most commonly used method of high frequency.)

自编四参数法生成多孔介质的matlab程序代码(Four-parameter method to generate self matlab code porous media)

说明：  本书是比较好的matlab学习资料 可以帮助初学者掌握基本的编程，里边也包含了程序源是很方便的。(This book is a good matlab learning material to help beginners master the basic programming, which also contains the program source is very convenient.)