solve_the_paticial_derivertive_equations_using_MAT

滤波器设计是信号处理的核心问题之一,Matlab软件在多个研究领域都有着广泛的应用。 本文介绍了基于Matlab环境下,用窗函数设计法实现FIR数字滤波器的设计,并阐述了与以前人 们常用的设计方法的区别,给出了设计实例。仿真结果表明,设计结果的各项性能指标均达到指定 要求,且设计过程简便易行。 (The design of filters is a core problem in signal processing. MATLAB software iswidely used inmany research fields. This article introduces themethod ofusingwindow function to design FIR digital filters based onMATLAB and its differences from the tradi- tional designmethods. And itgives a design example. The simulation shows that the design results canmeet the requirements verywell and the design procedure is very simple and practica.l )

有关于多项式/曲线拟合的一些例题代码，一共有7个*.m文件(There polynomial/curve fitting some examples of code, a total of 7*. M file)

改进蚁群路径规划，主方向因子,在二维空间搜索路径(mproved ant colony path planning)

说明：  对信号进行zak变换，计算速度快结果准确，开发环境为matlab(Zak transform the signal to calculate speed and accurate results, the development environment for matlab)

利用DE法计算经典光伏电池的5参数模型中的参数a，Rs，Rp(Use the DE method to calculate the parameters of a five-parameter model of PV array,which are a，Rs and Rp.)

数据挖掘,聚类分析,DBSCAN C++的实现,(Data mining, clustering analysis, DBSCAN C++ Realization)

一个mc-cdma的程序，存在频率偏移和多普勒的情况下的同步问题(Mc-cdma a procedure, there is a frequency offset and Doppler in case the synchronization)

说明：  MATLAB版本的CG（共轭梯度算法），用于求解大规模矩阵计算（方程组求解等问题）的基础算法(MATLAB version of the CG (conjugate gradient algorithm) for solving large-scale matrix computations (solving equations and problems) based algorithm)

说明：  个人编写的基于matlab的sobel算子算法(Personal preparation of the matlab-based algorithm sobel)

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)