MHT算法

Solving TSP using Neural Networks

Geddes,肤色分割，数字滤波器，Otsu-最大类间方差，非线性映射所产生的混沌序列(Geddes, color segmentation, digital filter, Otsu- Otsu, nonlinear mappings from the chaotic sequence)

随着应用的越来越复杂，对数据同步和存储的要求越来越多，有时候我们面对大量复杂的数据加载和数据同步代价，尤其是如果单服务器无法承载大量应用数据的时候，我们如何可以实现动态扩展服务器已达到负载均衡的目标(As applications are becoming more complex, the data synchronization and storage requirements are more and more, sometimes we are facing a large amount of data loading and data synchronization costs, especially if a single server cannot load a lot of the time of application data, how can we realize the dynamic extension of the server has reached the aim of load balancing)

SVM face recognition 程序源代码 s1-s40 --------- 人脸数据库 face.m --------- 人脸识别主程序 load_database.m------载入数据函数 其他-------------LIBSVM工具箱函数 注意：LIBSVM需要手动安装，先安装编译器，再执行make.m(Source code S1-s40-----face database Face. M-----face recognition the main program Load_database. M--- load data function Other-------LIBSVM toolbox function Note: LIBSVM need to manually install, install the compiler, then execute make. M )

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)

采用Newmarke线性加速度法由加速度时程求位移、速度、加速度的反应谱及动力放大系数(β)谱(The response spectrum and dynamic magnification factor (beta) spectrum of displacement, velocity, acceleration are obtained by using newmarke linear acceleration method)

说明：  传感器信息融合-matlab实现一书中的程序，适用于多传感器信息融合(Sensor Information Fusion-Matlab implements the procedures in a book, suitable for multi-sensor information fusion)

ONA用于降噪，负值处理，将数据处理的更加平滑和接近平均值。

Cooperative Communications for Cognitive Radio Networks — From Theory to Applications

Implementarea unui comparator pe 1 bit