matlab--face-emotion-detection

Digital Image Steganography: Survey and Analysis of Current Methods

基于模版匹配的彩色图像自动拼接，上海交通大学内部数据库提供(Template matching based on color image mosaic, internal databases, Shanghai Jiaotong University)

implements wumpus world with artificial intelligence resolution

matlab小程序，用来求趋势，很简单。主要是二次函数拟合趋势。(matlab small program used to find trends, very simple. The main trend is to fit a quadratic function.)

This work introduces two variants of unsupervised color segmentation methods. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained results into one composite segmentation. As a first step salient parts have to be identified in the image, which is done by a simple local color clustering approach.

SegyMAT is a set of m-files that aims to ease importing and exporting SEG-Y files from Matlab. SegyMAT aims to: completely support SEG-Y revision 1 be easy to use in other projects be compileable using the Matlab Compiler be a Swiss Army knife dealing with the SEG-Y format in Matlab. SegyMAT is not lightning fast. SegyMAT makes heavy use of ’structures’. Unfortunately structures are not very effective in terms of speed in Matlab. (Or they have not been implemented very effectively in SegyMAT). However structures make the implementation and maintainance easier, and the code (hopefully) easy to read. That said, some effort has been made to optimize SegyMAT for speed. The latest version of SegyMAT is always available from Sourceforge : http://segymat.sourceforge.net/.

matlab仿真出光栅函数的菲涅尔衍射，其中有四副图，原图，二维衍射图样，函数图象和三维衍射图样(matlab simulation of the Fresnel diffraction grating function, including four plans, artwork, two-dimensional diffraction patterns, functions, images and three-dimensional diffraction pattern)

三维线阵波束图 水声工程专业必看！！！！！！！！！！初学波束形成的同学肯定用得着(ULA beampattern )

说明：  热交换器用于物理热学研究计算使用用于仿真实验(Heat exchanger heat exchanger is used in physical heat research and calculation)

基于LDA的iris数据集分类算法，matlab实现，有注释。(LDA-based classification algorithm of the iris data set, the Matlab implementation, and comment.)