GUI

一本基于simulink的系统仿真技术与应用很有用的超星图书(A system based on simulink simulation technology and application of useful books Superstar)

这是一个使用matlab编写的源文件，实现了在网络中使用Floyd算法寻找最短的N条路径。(This is a source file, the use of matlab prepared N Floyd algorithm used in the network to find the shortest path.)

非常不错的书籍，《微粒群算法》供8章和2个附录，依次上传第5章(Very good books, Particle Swarm Optimization for Chapter 8 and Appendix 2, followed by From Chapter 5)

选择一张灰度图像和一张彩色图像，经过matlab仿真后能够将彩色图像上的颜色转移到灰度图像上！！！(Select a gray image and a color image, through the matlab simulation, the color images can be transferred to the gray color of the image! ! !)

基于小波变换的模糊图像融合程序。是两幅图像的处理程序。(Based on the wavelet transform of fuzzy image fusion process)

evaluates a linear basis function and computes L2 and H1 error for 1D finite element method

matlab 源码,基于小波变换的语音信息隐藏的实现,对原始语音信息和水印信息都经过三层小波分解处理后,将水印信息的低频信号嵌入原始语音信号的部分高频信号部分实现隐藏.源代码不仅给出隐藏过程,并且给出的在随机噪声,重采样,信息压缩情况下的抗攻击特性.源代码清晰有注释(matlab source code, based on wavelet transform voice messages hidden realize, the original voice information and watermark information after a three-treatment, after wavelet decomposition, the watermark information embedded in the low-frequency signals of the original speech signal realize some hidden part of high-frequency signals. source code is given not only to hide the process, and given in random noise, resampling, compression of information in case of anti-attack features. source code has a clear Notes)

TSP问题模拟退火算法MATLAB源码,已通过调试(TSP problem simulated annealing algorithm MATLAB source code, has passed the commissioning)

利用自抗扰控制器理论，提出了一种新颖的永磁同步电动机无位置传感器矢量控制系统 的转速估计方法。(A novel speed estimation approach to sensorless vector control of Permanent Magnet Synchronous Motor (PMSM) based on Active Disturbance Rejection Controller (ADRC) was proposed. )

KPCA 的基本思想是将数据从输入空间映射到高维特征空间,然后在特征空间利用线性主成分分析方法计算主成分。本程序是KPCA的源程序，可实现调用。对于初学者或许有帮助。(The basic idea of KPCA is to map the data from the input space to high dimensional feature space, then in the feature space using principal component analysis method to calculate the linear principal components. This program is the source KPCA can achieve call. May be helpful for beginners.)