MATLABimagesoucecode.rar

录入程序代码，并对该实验代码进行调试，检查程序代码中的语法和语义错误。 编写函数f（x）的代码如下： Romberg算法¨ function z=f(x) if (x~=0) z=sin(x)/x else z=1 end 备注：在实验代码中，首先输入必要的变量的值如下： a=0 b=1 tol=1e-8 待查询检查通过，开始输入执行代码 设置格式format short g查看u的值和sin（u）的值： (Input program code, and debugging code for the experiment to check the program code in the syntax and semantic errors. The preparation of a function f (x) of the code is as follows: Romberg algorithm ¨ function z = f (x) if (x ~ = 0) z = sin (x)/x else z = 1 end Note: In the experimental code, First, enter the necessary value of the variable is as follows: a = 0 b = 1 tol = 1e-8 pending inquiries, checking through, began to enter the implementation of the code format format short g see u, values and sin (u) values:)

模拟EDF输出的两连续光波的FWM作用模块(EDF continuous analog output light of the FWM effect of the two modules)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

基于matlab的模糊控制系统 针对智能控制的学习 使用模糊算法 (fuzzy control system that based on the matlab )

说明：  一个图像旋转30度的matlab源代码，实现lena图像的旋转，可直接运行，思路清晰(Rotate an image 30 degrees, matlab code, to achieve lena image rotation, can be directly run, clear)

Computational Electromagnetics for RF and Microwave Engineering

细菌觅食优化算法源代码，简单易懂，适合初学者(Bacteria foraging optimization algorithm source code, easy to understand.)

该程序属于光学检测领域，其作用将光学波前转变为泽尼克多项式(The code here is belonged to optical test field.And it changes the optical wave phase into Zernike polynomials)

MATLAB环境中的KSVD字典学习，可以用于信号特征的分析，学习。(The KSVD dictionary MATLAB environment study, can be used for the analysis of characteristics of signal.)

This function is used by the Piecewise Linear Rayleigh Ritz