LCMV优化设计阵列处理信号

刘金琨老师 《先进PID与Matlab仿真》（第二版） 数字PID仿真程序(Liu Jinkun ‘Advanced PID with the Matlab simulation[second edition]’ digital PID simulation program)

Time Difference of Arrival

直流無刷馬達分析模擬,包含力矩以及轉速控制(BLDC MOTOR SIMULATION)

A MIMO multiplexing system with NT transmit and NR = NT receive antennas is designed. The main challenge for MIMO systems lies in the non-orthogonality of the transmission channel. This can be solved by turbo processing. Turbo channel encoder is used for converting the bits in its suitable form. Then different M-ary QAM is compared.

说明：   数值计算 matlab 单模光纤一维模场分布(Numerical matlab one-dimensional single-mode fiber mode field distribution)

Phone Management System

该程序是由matlab编写的，可实现机器人的迭代学习控制的仿真分析。(The program is written by matlab, enabling simulation of iterative learning control of robot.)

人脸表情识别matlab程序LBP+LPQ算法融合，SVM分类(facial expression recognition algorithm fusion of LBP and LPQ，clssify by OAA SVM)

分类非平衡数据的SMOTEboost算法(This code implements SMOTEBoost. SMOTEBoost is an algorithm to handle class imbalance problem in data with discrete class labels. It uses a combination of SMOTE and the standard boosting procedure AdaBoost to better model the minority class by providing the learner not only with the minority class examples that were misclassified in the previous boosting iteration but also with broader representation of those instances (achieved by SMOTE). Since boosting algorithms give equal weight to all misclassified examples and sample from a pool of data that predominantly consists of majority class, subsequent sampling of the training set is still skewed towards the majority class. Thus, to reduce the bias inherent in the learning procedure due to class imbalance and to increase the sampling weights of minority class, SMOTE is introduced at each round of boosting. Introduction of SMOTE increases the number of minority class samples for the learner and focus on these cases )

说明：  实现对身份证区域分割的程序，将区域隔离开分，进行单独的识别(Realize the procedure of regional segmentation of ID card, separate the regions and identify them separately.)