HSM-8000-User-Guide-V2.2

孙志忠书：偏微分方程数值解，第三章第四节，抛物方程的Crank-Nicolson格式(Crank-Nicolson Type)

matlab guassian markov model

水平集分割算法的C-V模型，matlab源代码(level set segmentation algorithm C-V model, the source code Matlab)

本文介绍了matlab常用数值函数，包括通用命令、运算符和特殊运算符、编程语言结构、基本矩阵函数和操作、基本数学函数和文件输入与输出等。(This article describes the commonly used numerical matlab functions, including general orders, operators and special operators, programming language, structure, function and basic matrix operations, and basic mathematical functions such as file input and output.)

脚本程序，基础用力中能实用的，有具体含义(Script on the basis of force can be useful in)

本设计基于MATLAB实现了ean-13码的识别，与网上其他已有软件不同的是，本设计能检测出条形码的受损情况，并且执行光电软仿真，识别率很高。(The design is based on MATLAB realized ean-13 code identification, and other existing online software different is that this design can detect damage to the bar code, and performs photoelectric soft simulation, high recognition rate.)

pca分类程序，主要用于脑电信号的分类。具有较好的分类精度！(pca classification procedures, mainly for the classification of EEG signals. Has better classification accuracy!)

混沌系统需要的各种仿真程序,希望对大家(特别是初学者)有用.(chaotic system needs of the simulation program, we hope that the right (especially beginners) useful.)

IIR实现自适应滤波，运用高斯-牛顿算法实现了真正的价值的数据。(IIR adaptive filters,Implements the Gauss-Newton algorithm for REAL valued data. )

布谷鸟搜索（Cuckoo Search，缩写 CS），也叫杜鹃搜索，是由剑桥大学杨新社（音译自：Xin-She Yang）教授和S.戴布（S.Deb）于2009年提出的一种新兴启发算法[1]。 CS算法是通过模拟某些种属布谷鸟的寄生育雏（Brood Parasitism） [2]，来有效地求解最优化问题的算法[3]。同时，CS也采用相关的Levy飞行搜索机制。研究表明，布谷鸟搜索比其他群体优化算法更有效(Cuckoo search (Cuckoo Search, acronym CS), also known as cuckoo search by Cambridge Young Novosti (transliteration since: Xin-She Yang) inspired a new professor and S. Dai cloth (S.Deb) proposed in 2009 algorithm [1]. CS algorithms by simulating certain species of parasitic cuckoo brood (Brood Parasitism) [2], to efficiently solving algorithm optimization problems [3]. Meanwhile, CS also uses related Levy flight search mechanism. Studies have shown that, compared to other groups cuckoo search optimization algorithm is more efficient)