buck

Effective math model of IPMSM with 2 output fuzzy logic controller as speed controller. Good for simulation results.

Walsh Hadamard codes algorithm

UC3854功能图，引脚图，各项参数图，以及元器件的选取。(hardware and software of UC3854)

介绍了一种光伏电池的建立模型的方法，全英文的，看看外文还是很有好处的！(PV cells are introduced to model a way, all in English, foreign language is still very good look!)

CGfxOutBarCtrl类源码和使用实例，类库中包括了如下文件的下载： 　　GfxOutBarCtrl.h、GfxOutBarCtrl.cpp、GfxGroupEdit.cpp、GfxGroupEdit.h、GfxPopupMenu.cpp、GfxPopupMenu.h。(CGfxOutBarCtrl class source code and use cases, class libraries are included in the following documents to download: GfxOutBarCtrl.h, GfxOutBarCtrl.cpp, GfxGroupEdit.cpp, GfxGroupEdit.h, GfxPopupMenu.cpp, GfxPopupMenu.h.)

利用simulink仿真预测控制在boost电路中的应用(Use simulink simulation model predictive control applications in the boost circuit)

说明：  信道预测方法中的LMS方法，用来进行信道预测(LMS method in channel prediction method for channel prediction)

针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。( Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate.)

LMS算法实现系统辨识 LMS-Newton算法实现系统辨识 SER算法实现系统辨识 LMS-Lattice算法实系统辨识 SER-Lattice算法实现系统辨识 (Lms Lmsnewton SER LMS-lattice )

说明：  这个是语音信号处理里面的基于MMSE的谱减法增强处理程序，此种方法是我见过消除噪声最好的！(This is the speech signal processing inside the MMSE-based spectral subtraction to enhance handling procedures, this method is the elimination of noise, the best I' ve ever seen!)