ImageDenoising

平面波展开法计算立方结构光子晶体带隙，使用matlab编程，开源代码(Plane wave expansion method to calculate the cubic structure of photonic band gap, using matlab programming, open source code)

程序代码说明 P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像 P0210：在同一个窗口内显示两幅图像(code P0201 Note : MATLAB assignment P0202 : MATLAB for the cycle P0203 : MATLAB for the cycle, and if conditions P0205 : MATLAB image processing basic operation P0206 : High MATLAB image processing P0207 : According to RGB images to create a gray-scale image P0208 : binary images from the operation of the anti-P0209 : use imshow function displays images P0210 : in the same window shows two images)

BER for BPSK modulation in a Rayleigh fading channel with Alamouti Space Time Block Coding ,Two transmit antenna, Two Receive antenna

多模型交互跟踪多模型交互跟踪多模型交互跟踪多模型交互跟踪(Multi-track interaction model)

说明：  matlab预处理程序，具体是杨氏干涉下条纹图像的预处理和算法的程序(matlab pretreatment procedures, specifically under the Young' s interference fringes image pre-processing procedures and algorithms)

非对称的树形结构滤波器设计 并MATLAB仿真出图 显示一次二次等分解合成的误差值分析(The asymmetric tree structure filter design and MATLAB simulation diagram shows a two second decomposition synthesis error value analysis )

自己编写的用MATLAB实现的香农编码，简洁的形式。对香农编码理论的研究和进一步改善有现实的参考价值。(Write your own MATLAB shannon coding, concise form.The study of shannon coding theory and further improve has realistic reference value.)

a详细介绍MATLAB7.0的功能，及其一些编程注意事项和程序举例。(a detailed introduction MATLAB7.0 functions, and some of its attention to matters of programming and procedures, for example.)

说明：  16Qam在瑞利衰落下的matlab仿真，包括误码率计算以及理论分析(16Qam matlab under Rayleigh fading simulation, including calculations and theoretical analysis of bit error rate)

一种非线性代数方程组的迭代解法。最早用于解算电力系统潮流。这种方法具有程序编制简单、占用内存少的优点，但算法收敛性差，计算时间长。(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite. It was only mentioned in a private letter Gauss to his student Gerling in 1823.[1] A publication was not delivered before 1874 by Seidel.)