36-tap-interpolation-coefficeint

互信息图像配准，采用matlab实现，主要用于多模医学图像(mutual information image registration using Matlab to achieve, mainly for the Multi-Modal Medical Image)

用matlab程序生成四分体马赛克图片，付图片以供试验(create mosaic picture)

说明：  该程序主要也是针对滤波器设计的，实现了对一个语音信号的滤波处理(The program is largely designed for the filter, the realization of a voice signal filtering)

cortex-m0新塘工程模板，不需要新建工程，直接用(cortex-m0 Xintang project templates, no new construction, the direct use)

频率域低通滤波进行图像去噪，巴特沃斯低通滤波器(Frequency domain low-pass filter for image denoising, Butterworth low-pass filter)

MATLAB语言与控制系统仿真ch4 本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(MATLAB language and Control System Simulation ch4 book based on MATLAB 5.2 version, to provide practical guidance for using MATLAB. MATLAB has become a suitable the multidisciplinary working platform powerful, user-friendly, natural language open large outstanding application software, as well as domestic and foreign institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic basic teaching tools of control theory and engineering applications courses. The book is organized in a logical, throughout the examples described complete and relatively independent of each chapter is a concise MATLAB reference books, both for beginners and for advanced MATLAB users. Combined with the description of MATLAB and FORTRAN, C, and other languages ​ ​ is a rare feature in the books of all MATLAB. This book is suitable as a science and engineering universities graduate, undergraduate teaching books, the majority of scientific engineering and)

Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。 设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。 编写一个名为lagrange.m的M文件。(Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.)

首先，打开MATLAB编辑器,输入该文件中程序码，把文件保存到MATLAB当前目录并命名为zhuangxiang.m,只需在命令窗口中输入zhuangxiang,按回车键，根据提示输入，便可解决贪心算法中货船装箱问题，以求得最优解。 (First of all, open the MATLAB editor, enter the file, program code, save the file to the MATLAB current directory and named zhuangxiang.m, simply type in the command window zhuangxiang, press the Enter key, according to prompts can be solved by greedy algorithm cargo bin-packing problem, in order to achieve the optimal solution.)

说明：  详细介绍专家PID控制和模糊PID的电子书，内有相关的源代码(Detailed expert PID control and fuzzy PID of e-books, there is relevant source code)

基于matlab语言的格子玻尔兹曼方法的圆柱绕流程序，直接在matlab里运行就可以得到相应的结果了(Based on the matlab language Lattice Boltzmann flow around a circular cylinder procedures run directly in matlab can get the corresponding results of the)