EV充电功率

文件中包含几个用matlab编写的图像去噪程序，如邻域平均滤波‘维纳滤波法，巴特沃斯滤波法，并给出了计算PSNR值的公式。( delete the noise in the image)

对初学matlab的有很大帮助 认真学应该能学好(right novice Matlab great help learning, we should be able to learn)

说明：  系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用，讲解深入浅出，各章均有相应的例题，并提供了大量用MATLAB/Simulink实现的仿真实例(The basic concepts, working principles, and control algorithms of neural network control, fuzzy logic control and model predictive control are systematically discussed, as well as the methods to implement them using MATLAB language, MATLAB toolbox functions and Simulink. The book draws advanced and practical materials, explains profound theories in simple language, each chapter has corresponding example questions, and provides a large number of simulation examples realized by MATLAB/Simulink)

用Matlab实现中值滤波与Otsu算法 包括彩色图转256灰度，灰度图中值滤波处理，再用Otsu算法处理。(Median filter implementation using Matlab and Otsu algorithms including 256-color map turn gray, grayscale median filter, and then Otsu algorithm processing.)

说明：  对房屋租金进行预测，使用RBFmatlab，结果显示图形。(Forecast of housing rent, use RBFmatlab, the results show graphics.)

说明：  基于Mifare卡的读写器设计 具体详见内容(Based on the Mifare card reader designed to see the contents of a specific)

文件为关于如何用matlab进行编程的资料，用matlab编程比用C语言更容易，它的矩阵运算能力更是c语言难以比拟的。再用matlab编程时，一些小细节忘了可以看一下此文件。(Document on how to use matlab to program information with the matlab programming language more easily than C, its capacity is c matrix operations can not match the language. Then matlab programming, forgot some small details can look at this file.)

吸收光谱预处理，包括6种预处理算法，对吸收光谱预处理技术完成的比较完善。(The absorption spectra preprocessing, including six kinds of preprocessing algorithm, the complete absorption spectra of pretreatment technology is relatively complete.)

关于matlab的方面的一些源代码。可以实现多项式函数计算，插值计算，和傅里叶变换，等等(Some aspects on the matlab source code. Polynomial function can calculate, interpolation, and Fourier transform, and so on)

说明：  基于灰度直方图，对图像的纹理特征进行提取，根据灰度共生矩阵得到的四个纹理描述子。(Histogram based on image texture features were extracted, according to the four GLCM texture descriptors obtained.)