In design of large

matlab code of channal

利用matlab软件进行主成分分析，并做成图形用户界面(Using matlab software for principal component analysis, and made the graphical user interface)

文中给出了人工鱼群算法的原理和详细描述，并对算法的收敛性能和算法中各参数对收敛性的影响等因素进行了分析 针对组合优化问题，给出了人工鱼群算法在其中的距离、邻域和中心等概念，并给出了算法在组合优化问题中的描述 针对大规模系统的优化问题，给出了基于分解协调思想的人工鱼群算法 给出了人工鱼群算法中常用的一些改进方法(The Analysis and ImProvement of Artifieial Fish-swarm algorithm)

说明：  计算傅立叶光学的实现，可以用于GS算法（需要改造），角谱算法的参考，基础算法本人已经验证，可实现衍射的计算，经开发可以用于DOE（衍射光学元件）的设计(The realization of computational Fourier optics can be used as a reference for GS algorithm and angular spectrum algorithm. The basic algorithm has been verified by myself, and can be used for the calculation of diffraction. The developed algorithm can be used for the design of DOE (Diffractive Optical Element).)

This is the source code to SEEDS superpixelsThis is the source code to SEEDS superpixels, as described in M. Van den Bergh, X. Boix, G. Roig, B. de Capitani and L. Van Gool, "SEEDS: Superpixels Extracted via Energy-Driven Sampling", ECCV 2012. The SEEDS class is defined in seeds.h and seeds2.cpp. The method can be run on an RGB image (stored in an UINT* array) by using the following constructor, initialization and iteration methods:  SEEDS(int width, int height, int nr_channels, int nr_bins, int min_size);  void initialize(UINT* image, int seeds_w, int seeds_h, int nr_levels);  void iterate(); The initial size of the superpixels is independent from the image size, and defined by the following 3 parameters: , and . The first two define the minimum block size in the SEEDS algorithm. The defines the number of times this block size is doubled to

Creating the Auto Answering Machine Application

matlab 软件的simulink 实验室说明软件(simulink of matlab software note software laboratory)

说明：  bwt源代码，希望对大家有所帮助，基于matlab开发的

多帧图像超分辨率重建，里面有huber 马尔科夫，ML超分辨率重建，对学习超分辨率很有帮助。(Multi-frame image super-resolution reconstruction, which has the the huber Markov, ML super-resolution reconstruction is helpful in learning the super-resolution.)

an lr-p implemention with matlab