SIFT

因为MATLAB需要用到处理器的数学运算部分(MATLAB默认用的是INTEL的数学处理单元),故需要设置一下BLAS(Basic Linear Algebra Subroutines,就是"基础线性几何子程序"的意思)环境变量. 首先请确认你的MATLAB的文件夹中有如下文件:atlas_Athlon.dll(AMD系列的请用这个)， atlas_P4.dll(P4的用这个)，atlas_PIII.dll(P3的用这个)，atlas_PII.dll(P2的用这个)，这些是对应处理器的数值运算优化文件 } 先找到 $MATLAB7inwin32目录下的atlas_Athlon.dll（AMD系列CPU使用）和atlas_P4.dll（奔4用）文件，放到MCR目录中（随便），然后设置环境变量 变量名：BLAS_VERSION 变量值：D:MCRv70atlas_Athlon.dll(Because the MATLAB mathematical operations need to use some of the processor (MATLAB is used by default INTEL mathematical processing unit), so you need to set BLAS (Basic Linear Algebra Subroutines, is " based on linear geometry subroutine" means) environment variable. First make sure your MATLAB folder the following files: atlas_Athlon.dll (AMD series please use this), atlas_P4.dll (P4' s with this), atlas_PIII.dll (P3' s use this), atlas_PII.dll ( P2, use this), these are the values corresponding to processor operations to optimize file} first find $ MATLAB7 bin win32 directory atlas_Athlon.dll (AMD series CPU use) and atlas_P4.dll (Pentium 4 with) file, put MCR directory (random), and then set the environment variable variable name: BLAS_VERSION variable value: D: MCR v70 atlas_Athlon.dll)

matlab 课程实习 第六章 答案 附源码(Chapter Answers with source matlab internship programs)

DCT域QIM音频隐藏技术的实现——信息隐藏技术 (QIM realize DCT domain audio hiding techniques- Information Hiding)

基于cost207模型的AM调制的仿真，仅仿真乡村模式，用于课本《移动通信》第三章10题的入门回答(AM modulation cost207 model-based simulation, emulation mode only country, introductory textbook for " Mobile Communications" Chapter 10 questions answered)

对于混沌系统进行李雅普诺夫指数计算以及其指数谱仿真(chaos system lyapunov)

关于排队模型的资料整理，很全面，应用到很多方面，欢迎下载~~~(A lot of materials about queue model, very useful, and they are many applications, welcome to download. )

matlab学习的必备资料，高级进阶教程，简单明了(Matlab learning essential information, Advanced Tutorial, plain and simple)

入侵性杂草算法，连续型，多目标，多维函数优化。(invasive weed 0ptimization is a good optimal tools for any continual problem. IWO has been successfully applied to several electromagnetic optimization problems)

This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points. The algorithm is described in detail in:

论文的程序，与大家分享 应用混沌序列对水印信息进行置乱源代码 (Thesis process, and application of chaotic sequences to share information on scrambling watermark source code)