nShapeCurve

元胞自动机：森林火灾模型 规则： (1)正在燃烧的树变成空格位； (2)如果绿树格位的最近邻居中有一个树在燃烧，则它变成正在燃烧的树； (3)在空格位，数以概率p生长； (4)在最近的邻居中没有正在燃烧的树的情况下树在每一时步以概率f(闪 电)变为正在燃烧的树。( Cellular Automata: Forest Fire model Rule: (1) burning of trees into a space bit (2) If the tree can notably nearest neighbor has a tree in the burning, then it turned into being burning tree (3) in the space bit, a few with probability p growth (4) In the nearest neighbor is not burning under the tree the tree in each time step with probability f (flash electricity) Variable for the burning trees.)

1线性最小二乘估计 2线性最小二乘加权估计 3线性最小二乘递推估计 4单参量的线性最小二乘估计 (The least squares estimate)

形状特征的七个不变矩，用matlab实现(Shape characteristics of the seven moment invariants, using matlab to achieve)

the graph of x=0.2*(1.2^n)

OFDM信道建模simulink仿真的MATLAB源码 (OFDM channel modeling simulation of MATLAB source simulink)

3-level inverter for power electronics applications

The goal of the HumanEva dataset is to develop new techniques, technology, and algorithms for the automatic articulated pose estimation and tracking of humans. Brown University is involved in an ongoing effort to develop this dataset of synchronized video and motion capture data.

AVS Speech Code this code describe AVS sppech code in Matlab

为用户提供了一个开放的、可扩展的环境，用于在药品研究、遗传工程和其他与基因组、蛋白质等相关的项目中进行原型算法的开发以及应用。(Bioinformatics Toolbox™ offers computational molecular biologists and other research scientists an open and extensible environment in which to explore ideas, prototype new algorithms, and build applications in drug research, genetic engineering, and other genomics and proteomics projects. This bioinformatics software provides access to genomic and proteomic data formats, analysis techniques, and specialized visualizations for genomic and proteomic sequence and microarray analysis. Most Bioinformatics Toolbox functions are implemented in the open MATLAB® language, enabling you to customize the algorithms or develop your own.)

遗传算法在函数中的应用，它包括编码、交叉、变异、选择等详细的编程，对学习遗传算法很有帮助。(Genetic Algorithms in a function application, which includes coding, crossover and mutation, select details such as programming, genetic algorithm is useful for learning.)