multistage-Wiener-filtering

说明：  自己搭建的matlab电机仿真中的SVPWM模块，其中U_alpha,U_beta为电压输入，T为开关周期，U_dc为直流母线电压，PWM为六路脉冲信号，绝对好用(Matlab built their own motor simulation SVPWM module, which U_alpha, U_beta the voltage input, T is the switching cycle, U_dc for the DC bus voltage, PWM pulse signal for the six-way, absolutely easy to use )

MATLAB进行图像处理的一些实用程序，有图像增强 ，图像复原的，还有神经网路的，还有一些实例，比如形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 。内附说明，希望能够对正在进行数字图像处理学习的人有帮助(MATLAB image processing some of the practical procedures, image enhancement, image restoration, as well as neural networks, there are some instances, such as morphology instance- the image from the PCB to remove all the current lines, retaining only the object chip. Containing a note in the hope of the ongoing digital image processing to help people learn)

卡尔曼跟踪代码 卡尔曼跟踪代码 卡尔曼跟踪代码 卡尔曼跟踪代码 卡尔曼跟踪代码 (Kalman Kalman tracking code tracking code tracking code Kalman Kalman Kalman tracking code tracking code)

Numerical Methods in Engineering with Matlab by Jaan Kiusalaas

基于wilson算法的风力机叶片翼型的优化和三维坐标转换(Wind turbines airfoil optimization and three-dimensional transformation based on wilson algorithm)

对于初学者具有参考意义，连续相位调制信号(CPM)产生，详细画出了时域和频域的相关图。( For beginners with a reference value, Continuous phase modulation signal (CPM) to produce, Correlation diagram shown in detail the time domain and frequency domain.)

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)

基于有限元法求解二维边值问题的matlab程序(Based on the finite element method of two-dimensional boundary value problem matlab program)

寻找一维或者二维数据的极值点，并将极值点在途中标注出来(find the extrimas in a one dimensional or two dimensional data，and simbolify the extrimas)

比较多用户信号检测各个算法的误码率，如最小均方、最大似然等(MUD,ML,MMSE)