fir2iir

开关电源 PWM PFM仿真 SIMULINK(Switching power supply PWM PFM simulation SIMULINK)

经典的灰度共生矩阵纹理计算方法，基于matlab平台实现(The classic method of calculating GLCM texture, based on matlab platform)

各种系统辨识方法，对一阶，二阶，三阶自衡系统进行辨识。用到的方法有面积法等等……(Various system identification method, first, second, third from the value system identification. The methods used in an area of law, etc ... ...)

通过构造加博函数进行加博滤波实现对指纹图像的二值化(By constructing Gabor function Gabor filter is on the fingerprint image binarization)

Matlab的模拟退火算法工具箱。并附有sample文件夹，有助于初学者进行学习测试。(The Matlab simulated annealing algorithm toolbox. With the sample folder, will help beginners learn the test.)

Differential Equations Linear, Nonlinear, Ordinary, Partial

LDPC研究者MacKay提供的校验矩阵H及对应的生成矩阵G，其中H行重为6，列重为3，行数252，列数504.(LDPC researchers MacKay, the calibration matrix H and the corresponding generator matrix G, H which re-6, series of three, the lines 252, 504 Columns.)

机器人定位与kalman滤波波的学位论文与源程序可直接使用。 (The robot positioning kalman filtering wave Dissertation source can be used directly.)

Transient Stability Analysis of 3-Phase and Integrated 3-Phase and 6-Phase Transmission System

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，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。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)