1DBVP

扩展卡尔曼的代码,非常有用的，希望多多下载(Extended Kalman code, very useful, and I hope a lot of download)

经典matlab书籍——《精通MATLABA6.5版》，张志涌等编著，北京航空航天大学出版社。配备书上详细的代码，学好MATLAB必备。 (Matlab classic books- proficient MATLABA6.5 Edition , edited by Zhang Zhiyong, etc., Beijing University of Aeronautics and Astronautics Press. Books with detailed code, learn essential MATLAB.)

四边简支，受两个集中荷载的薄板弯矩及挠度分析程序，利用的弹性力学薄板理论。(Simply supported by two thin plate bending and concentrated load deflection analysis procedures, the use of thin elastic mechanics theory.)

多种流行学习算法的MATLAB实现。包括MDS、ISOMAP、 LLE 、 Hessian LLE 、Laplacian、LTSA 等多种算法。(A variety of popular learning algorithm in MATLAB to achieve. MDS, ISOMAP, LLE, Hessian LLE, Laplacian, LTSA.)

神经网络BP辨识的Matlab算法，用于辨别复杂的非线性系统(Identification of the Matlab neural network BP algorithm, used to identify the complex nonlinear systems)

完整能运行的OFDM程序，可以修改值，有仿真曲线(OFDM can run a complete program, you can modify the value of a simulation curve)

HHT变换matlab程序 在matlab下运行即可，可以修改各种参数，采样点数，各种电能质量原始信号均由程序所得，可以信号叠加而来。比如电压跌落，谐波，暂时上升，中断等。 例子给出的是 电压暂降。(HHT transform matlab matlab program can be run in, you can modify various parameters, sampling points, a variety of power quality of the original signal by the program proceeds, may signal superimposed from. Such as voltage drop, harmonics, temporary rise interruption. The example given is voltage sags.)

逆变器具有灵活、高效的特点，是新能源并网的主要接口。当多个逆变器连接到电网的同一个公共连接点时，逆变器非理想的电源特性，使得逆变器之间、逆变器与电网之间存在的谐波交互作用可能引发谐振， 使系统出现过电压、 过电流现象影响电网的电能质量，甚至威胁系统的安全稳定运行(Inverter is flexible and efficient, and it is the main interface of new energy integration. When multiple inverters are connected to the same common connection point of the power grid, the inverter is not ideal. The harmonic interaction between the inverters, the inverter and the grid may cause resonance, which causes the overvoltage and overcurrent to affect the power quality of the power grid and even threatens the safety of the system. stable operation)

OCR system with neural network

介绍回归问题中高斯过程的应用，C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,(Gaussian regression problem introduced in the application process, CE Rasmussen & CKI Williams, Gaussian Processes for Machine Learning,)