convolution-without-using-conv-function

带交叉因子的粒子群MATLAB算法程序，可实现带约束变量的微粒群算法(With cross-factor PSO algorithm MATLAB procedures, can be constrained variable particle swarm optimization)

这是一个关于人脸识别的MATLAB程序。。。。。。。(face detection)

自己编写的vc调用matlab程序，可以再vc的环境下实现matlab窗口显示图像，对初学者很有用(I have written matlab program called vc, vc environment can be achieved matlab window display images, useful for beginners)

Its IEEE paper on Control of An Islanded Distributed Energy Resource Unit with Load Compensating Feed-Forward

TIMER sample code and test program

ransic用于减少错配点，方便可行，经本人验证，程序可行，欢迎下载(ransic used to reduce the mismatch points, convenient and practical, as I verified, the program feasible, welcome to download)

可用的心电信号降噪去噪matlab程序，欢迎下载！(useful matlab noise )

全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"(Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg)

一个用matlab写的跳频通信系统仿真，信道采用的是高斯白噪声信道(a frequency-hopped communication system, simulated by matlab )

Matlab小波特征提取，主要是纹理特征(Matlab wavelet feature extraction, texture features are mainly)