HouF

particle swarm optimization for loss reduction

基于matlab的人脸识别程序 (Face recognition program based on MATLAB)

Program for SISO HARQ

混沌映射序列的自相关函数图,用于电机混沌控制(Chaotic maps autocorrelation function map for motor control chaos)

混合动力汽车仿真模型，请在Cruise软件下运行，包括控制策略的MATLAB模型，通过建立DLL与Cruise进行联合仿真(Hybrid vehicle simulation model, run under Cruise software, including MATLAB model control strategy, by establishing co-simulation DLL with Cruise)

利用天棚原理对车辆悬架进行控制，天棚控制又卡诺怕于1970s提出。(Ceiling suspension using the principle of control of the vehicle, ceiling control and fear in the 1970s raised Carnot.)

This code for detection cars in traffic in matlab

線性二次調節器（LQR）設計 透過微分方程式求出LQR的範例(Linear quadratic regulator (LQR) differential equation obtained by LQR design paradigm)

广义互相关函数来确定两个信号的时延差，时延定位相关程序(Generalized cross-correlation function to determine the time delay difference between the two signals, the delay positioning procedures)

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition