matlab-course-project

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

PFC电路仿真，分析器各个工作模态和各种关键波形(PFCModal, and a variety of key waveforms of the PFC circuit simulation, analyzer work)

一种利用小波变换的水印算法，实现了盲检测，可以对抗常见的几何攻击。(a wavelet transform the watermark algorithm achieved a blind testing can be used to confront common geometric attacks.)

这个也是关于空间谱的matlab 挺好的 可以(This is on the spatial spectrum of matlab can be quite good)

说明：  关于主要的图像超分辨率重建和复原算法，配准，实例，正则化(Super-resolution images on the major reconstruction and restoration algorithm, registration, case, regularization)

使用互斥信号量来实现任务对共享资源的互斥访问 (Use a mutex quantity of Shared resources to achieve the mission of exclusive access to)

基于MATLAB中对于风电场的模型及仿真(Based on MATLAB, the wind farm model and simulation)

一个基于DCT域的数字水印代码，里面有详细的注释说明。(This is a digital watermarking sourcecode based on DCT.Attached with detailed comments and explanation.)

Gauss 消元法 — 不选主元 Gauss 消元法 — 列选主元. 插值法 lagrange .cpp 插值法 lagrange .cpp 二分法.txt 二分法和简单迭代法以及埃特金.txt 复化辛卜生公式.txt快速弦截法 gauss-seidel选代.txt牛顿迭代法.txt(Gauss elimination method- do not choose the principal component Gauss elimination method- principal component out how. Interpolation lagrange. Cpp interpolation lagrange. Cpp dichotomy. Txt dichotomy and a simple iterative method, and Aitken. Txt Fu Xin Bo' s formula of . txt fast chord intercept method gauss-seidel iteration. txt Newton iterative method. txt)

运行在Matlab 7.x 主要功能是实现图形图像处理 内有源程序和使用说明(Run in 7.x of Matlab The main function is to achieve Graphics and Image Processing Within the source code and instructions for use )