ant-matlab

AP 聚类算法实现及其应用，给的数据矩阵，即可得出相应类别(AP Cluster )

Matlab/Simulink Tutorial

matlab/simulink中电池模型的使用和数据采集(matlab/simulink model used in batteries and data acquisition)

A Tutorial on Energy-Based Learning

直方图图像均衡化和规定划、以及加性噪声，如拖尾脉冲噪声，高斯脉冲噪声（自适应方法）、和椒盐噪声等等各种噪声的添加噪声和去除噪声的MATLAB代码(Histogram equalization and provisions of the planning image, and additive noise, such as trailing impulse noise, Gaussian pulse noise (adaptive approach), and salt and pepper noise, etc., add all the noise noise noise and remove the MATLAB code)

RS编解码过程,并包括进制转换和域的变换,可用于RS码仿真(RS codec process, and includes hexadecimal conversion and transform domain can be used for RS code simulation)

复变函数与积分变换的学习辅导和课后习题全解(Complex Variables and Integral Transform counseling and after-school learning all solutions of Problem)

cordic算法实现特征值分解，非常实用，代码可以作为参考(cordic eigenvalue decomposition algorithm, very practical, code can be used as a reference)

MATLAB图像配准源程序,初学者一起研究.图像配准的程序，在网上流传很多，本人把能找到的都打包.(MATLAB source image registration, novices together. Step one, calculated to be scale-space image registration and to obtain scale-space Harris corner step 2, using affine shape modification technology scale Harris corner points of space iterative processing step three of the feature point matching method using the descriptor and matching to achieve registration by matching)

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.