bpsk

matlab与数据库的链接问题,sql access(matlab problem with the database link )

huffman tree in matlab

通过matlab实现前景理论三参数区间灰数(Foreground theory, three parameter interval grey number are realized by MATLAB)

说明：  最短路径的Dijkstra算法程序。Dijkstra算法是典型最短路算法，用于计算一个节点到其他所有节点的最短路径。主要特点是以起始点为中心向外层层扩展，直到扩展到终点为止。Dijkstra算法能得出最短路径的最优解，但由于它遍历计算的节点很多，所以效率低。 　　Dijkstra算法是很有代表性的最短路算法，在很多专业课程中都作为基本内容有详细的介绍，如数据结构，图论，运筹学等等。 (The Dijkstra shortest path algorithm for the procedure. Dijkstra algorithm is a typical shortest path algorithm, used to calculate a node to all other nodes of the shortest path. The main characteristics is the starting point as the center outward expansion layers, until the end date be extended to. Dijkstra shortest path algorithm can arrive at the optimal solution, but because of its calculation of the node traversal, so inefficient. Dijkstra algorithm is very representative of the shortest path algorithm, in many professional courses in the basic content as described in detail, such as data structures, graph theory, operational research and so on.)

Long-Term Evolution: Simplify the Migration to 4G Networks

运用波束形成 、MUSIC算法、一阶前向预测算法、Capon算法、AP-ML(交替投影ML)算法 、 AP-SSF(交替投影SSF)算法、 ESPRIT算法分别对雷达信号的到达角度进行估计(Using beam forming, music algorithm, first-order prediction algorithm, Capon algorithm, AP-ML (alternating projection ml) algorithm, AP-SSF (alternating projection SSF) algorithm, ESPRIT algorithm respectively on radar signal angle of arrival estimation)

该文件中包含了详细的matlab实现的源代码，很适合初学者入门。代码的运行环境有要求： 1. 软件环境 需要安装暴风影音才能正常播放.WMV文件； MATLAB R2011b 版本的软件。 2. 硬件环境 处理器：CPU主频不低于1GHz； 内存：不小于256MB； 硬盘：不小于10GB； 显示器：支持1024*768分辨率。(The file contains a detailed matlab realize the source code, it is suitable for beginners. Operating environment code required: 1 Software Environment         STORM need to be installed in order to play properly .WMV file         MATLAB R2011b version of the software.     2 hardware environment         Processor: CPU clock speed of not less than 1GHz         Memory: not less than 256MB         Hard disk: not less than 10GB         Display: 1024* 768 resolution.)

Blind Source Separation (BSS) is a statistical approach to separate individual signals from an observed mixture of a group of signals. BSS relies on only very weak assumptions on the signals and the mixing process and this blindness enables the technique to be used in a wide variety of situations.

用卡尔曼滤波器实现目标追踪，利用蒙特卡洛的方法对跟踪滤波器进行仿真分析，次数为1000次 (Kalman filter to achieve target tracking, using the Monte Carlo method of tracking filter simulation analysis, the number is 1000 times)

CORDIC sin cos algorithm 2