SNV

基于matlab中卡尔曼滤波在目标跟踪上的源程序(Matlab-based target tracking Kalman filter on the source)

low pass filter design using matlab

principle componant analysis based face recognition

使用matlab计算微小球形颗粒在介质中的散射系数(Calculation of small spherical particles in the medium mie coefficients)

信号处理领域中时频分析工具箱，可以处理常见的食欲频域以及时频域信号分析。(Signal processing toolbox in the time-frequency analysis, loss of appetite can handle the common frequency domain and time-frequency domain signal analysis.)

Hopfield plc programmer

该文档是matlab工具箱的安装使用手册： PSOt为PSO的工具箱，该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(The document is the installation of matlab toolbox manual: PSOt toolbox for the PSO, the PSO algorithm toolbox to the core package and up to the user adjustable parameters for the algorithm, users only need to define their own needs better optimization function (calculated minimum or maximum), and set a good range of functions from the variables, each iteration the maximum allowable variation (known as maximum speed, Max_V), etc., can be self-optimization.)

模拟退火法求函数的最小值 结束条件为两次最优解之差小于某小量(End condition of the simulated annealing method and function of the minimum of twice the optimal solution of the difference is smaller than some small amount of)

下面是5 MATLAB文件。 1。readsounds。米,用于读取数据 2。sep.m,一个学习通过数据的代码 3。sepout。米,可选的文本输出 4。wchange。米,体重变化的大小和方向 5。sep.run,2 - > 2分离的示例脚本(Below are 5 MATLAB files. 1. readsounds.m, for reading the data in 2. sep.m, the code for one learning pass thru the data 3. sepout.m, for optional text output 4. wchange.m, tracks size and direction of weight changes 5. sep.run, an example script for 2->2 separation )

代码是matlab编写，有例图，可直接运行（注意修改路径）。主要用来检测桥面、路面裂纹，有详细函数功能说明和算法思想，实现了路面规则条纹背景的频率估计，采用频域滤波可有效去除路面图像接近估计频率的噪声，保留目标裂纹，实现了初步的检测功能，但是功能还不完善，可作Demo供大家参考。有兴趣的朋友可以逐步完善、移植，有兴趣的朋友请与我联系。(Matlab code is written, there is case diagram, can be run directly (Note to modify the path). Mainly used to detect bridge, road cracks, a detailed description and algorithms Function thinking to achieve a frequency of road rules striped background estimation, using frequency domain filtering can effectively remove the image close to estimate the frequency of road noise, keep cracking goal to achieve a preliminary detection function, but the function is not perfect, can be used for Demo for your reference. Interested friends can gradually improve, transplant, friends who are interested, please contact me.)