Signal-processing--_MATLAB-code

里面汇集了很多经典的pid控制程序，大家可以借鉴哦(Which brings together many of the classic pid control procedures, everyone can learn from Oh)

this program describes the partical filter and extended kalman filter used to reduce the error to get better accuracy of the position

This pdf file contains steps to simulate a traction load in an area with varaiable speed control and traction operation mode and regenerative mode.

Calculate the field distribution of Hertzian Dipole

基于年龄累计直方积累的人脸识别与鉴别算法比较(Cumulative Histogram Based on the accumulation of age, face recognition compared with the discrimination algorithm)

说明：  提取滤波器耦合矩阵:利用特征值和T向量构造M矩阵，并进行相似变换求得不同结构的滤波器耦合矩阵(Extract filter coupling matrix: use eigenvalues and T vectors to construct M matrix, and perform similar transformations to obtain filter coupling matrices with different structures)

说明：  simulink入门书籍，非常简明全面，适合初学者(simulink entry book, very concise and comprehensive, suitable for beginners)

该代码采用matlab和C混合编写，是采用随机梯度的方法训练线性分类器，它可用于数据、图像等的多类分类情况。参考论文：Good Practice in Large-Scale Learning for Image Classification(This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classification problems (many classes, many examples, high dimensional data).)

save out a series of images from a movie in Matlab

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)