TSPHopfield

说明：   采用一种不完全的微分算法，被控对象为时滞系统。对象的输出端加的随机信号，幅值0.01.采样时间是20ms。(PID Controler with Partial differential)

2d fdtd code with tf sf interface and upml ABSORBING BORDERS IN MAT LAB

有关S.J.Chapman《MATLAB编程》中文版修正版的书籍资料(For SJChapman " MATLAB Programming" revised version of the book Chinese data)

dq controller its based on controling dq of input stage

wireless sensor networks protocol

捷联惯导解算程序，由导航数据解算载体位置与姿态信息(SINS solver, the navigation data calculating the position and attitude information vector)

MATLAB SOURCE CODE FOR PLOTING SIMULATION

说明：  随机信号谱分析技术实现 随机信号谱估计及质量评价。 离散随机信号通过线性时不变系统时，系统所产生的响应。 功率谱估计的实现方法：自相关函数法、周期图法、Bartlett法、Welch法、MTM法、MUSIC法 (Random signal spectral analysis of random signal spectral estimation and quality evaluation. Discrete random signals through linear systems, the system generated response. Realization of the power spectrum estimation: autocorrelation function, periodogram, Bartlett law, Welch method, MTM method, MUSIC method)

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.

Matlab text book.Primer edition for experts