writeuff

是一个人脸识别特征提取的Vc代码，很好用，希望对你有帮助！(Is a face recognition feature extraction Vc code, very good, and want to help you!)

这是有关Matlab的一些电子教案或课件，对于学习Matlab的来将非常有帮助(This is the Matlab lesson plans or the number of electronic courseware for learning Matlab)

说明：  图象增强，采用中值滤波和平滑滤波的方式，效果明显(zhongzhi he pinghua)

说明：  fortran 调用matlab引擎实例(FORTRAN examples Matlab engine)

说明：  一些经典的Q-learning代码,用MATLAB语言编写，在MATLAB平台可运行(some easy Q-learning code)

This m-file simulates MPSK (BPSK,QPSK,8PSK)with theoretical and simulated results using Gray coding. Numerical examples of a satellite link design are shown using QPSK and/or 8PSK when the bit rate(Rb)is greater than the channel bandwidth Wc (Band-limited channel). (This m-file simulates MPSK (BPSK, QPSK, 8PSK) with theoretical and simulated results using Gray coding. Numerical examples of a satellite link design are shown using QPSK and/or 8PSK when the bit rate (Rb) is greater than the channel bandwidth Wc (Band-limited channel).)

rbfnn算法用于长期预测，效果较好。rbfnn算法用于长期预测，效果较好。(rbfnn algorithm for long-term projections, the effect is better. rbfnn algorithm for long-term projections, the effect is better.)

Mimo Channel estimation for transmit diversity

levelset用于物体轮廓提取算法。可以自动提取轮廓的边界从而达到显示物体看轮廓的目的(levelset for object contour extraction algorithm. Can automatically extract the contour of the boundary so as to achieve the purpose of display object to see profile)

说明：  关于解微分方程的matlab小程序，适合本科生学习使用。(MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated chaotic systems are simulated using the MATLAB ODE solvers. Some advanced programming techniques such as Object Oriented Programming (OOP) and Graphical User Interface (GUI) programming are briefly covered. The aim of this lecture series is to introduce students to computational methods in MATLAB to solve problems arising in physics that cannot be solved analytically. No prior knowledge of MATLAB is required. Themes of data analysis, visualization, modelling and programming are explored throughout these lectures. )