MATLABcar

说明：  MATLAB是由美国mathworks公司发布的主要面对科学计算、可视化以及交互式程序设计的高科技计算环境。它将数值分析、矩阵计算、科学数据可视化以及非线性动态系统的建模和仿真等诸多强大功能集成在一个易于使用的视窗环境中，为科学研究、工程设计以及必须进行有效数值计算的众多科学领域提供了一种全面的解决方案，并在很大程度上摆脱了传统非交互式程序设计语言（如C、Fortran）的编辑模式，代表了当今国际科学计算软件的先进水平。　(MATLAB is a U.S. company' s main face mathworks scientific computing, visualization and high-tech interactive computing environment programming. It numerical analysis, matrix computation, scientific data visualization and nonlinear dynamic systems modeling and simulation, and many other powerful features in an easy to use integrated Windows environment for scientific research, engineering design and the need for effective numerical calculation many fields of science provides a comprehensive solution, and largely out of the traditional non-interactive programming language (such as C, Fortran) of the edit mode, on behalf of the current international advanced level of scientific computing software.)

MRC合并方式下的matlab仿真程序解析(MRC merger under matlab simulation program to resolve)

对数据进行层次分析，求出各个变量的权重，主要用于求最优方案(The data analysis hierarchy, work out the weight of each variable, mainly for the pursuit of the best scheme )

LUT table interpolation without/with divider

考虑到通信网络结点的可靠性，若要求任意一个结点出现故障时，其它结点间仍然能够保持通信畅通的可能性都达到90 ，请建立问题的数学模型，设计求解算法，并给出使总铺设费用最少的铺设方案(Considering the reliability of communication network nodes, if you want any one node fails, you can still keep communication flowing between the possibility of other nodes are reached 90 , please build a mathematical model of the problem, the design algorithm, and give up some laying scheme of total laying cost at least)

Kamath于2002年提出的多频带谱减法 联合开发网 - pudn.com

graph partioning tool

说明：  matlab最优控制的作业 请各位高手多多指教(Matlab optimal control operations please master exhibitions)

此代码为pi/4-dqpsk的调制解调算法，用MATLAB实现，采用插分解调，简单实用(pi/4-dqpsk this code for the modulation and demodulation algorithm in MATLAB, transfer took decomposition, simple and practical)

人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等(Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA)