svpwm

说明：  粒子滤波器在机器人导航中的成功应用，扩展卡尔曼滤波器。(Particle filter in robot navigation in the successful application of extended Kalman filter.)

这是一个多彩文字显示的系统模块源码GPCXX，分享给同学们学习参考(This is a colorful text display system module source code DCWZXSMK, share to the students to learn reference)

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

说明：  一个svm的源程序，很简单的程序，易懂，非常实用-svm代码.(Svm of the source of a very simple procedure, easy to understand, very practical-svm code.)

da control filter design in matlab simulink

二自由度重型汽车整车模型，用Simulik搭建的，根据余志生的第五章(DOF；Two degree of freedom model of heavy automobile)

直线一级倒立摆LQR 控制MATLAB 计算程序,绝对正确.(Linear inverted pendulum LQR control a MATLAB program, absolutely correct.)

Single phase converter control

捷联惯性导航技术中使用四元数算法实现姿态更新矩阵的求解，得到姿态角。(Strapdown inertial navigation technology using quaternion attitude update algorithm for solving the matrix, get attitude angle.)

小波多层分解单层重构程序，对非平稳时间序列进行多尺度分解，然后进行单层重构。(Wavelet decomposition multilayer single reconstruction program, for non-stationary time series multiscale decomposition, and then single-remodeling.)