Convergence-Behavior-of-Distance-Vector-and-Link

One issue with underwater sensors is how to efficiently transfer large amounts of data collected by the node to an interrogating platform such as an underwater vehicle. It is often impractical to make a physical connection between the node and the vehicle which suggests an acoustic or optical wireless solution. For large amounts of data, the high bandwidth of underwater optical wireless is an advantage. A small, low-cost platform to demonstrate the potential of an optical wireless communications interface for underwater sensor nodes is demonstrated. To enhance the reliability and robustness of the optical wireless communication digital signal processing and error correction techniques are used. The system was tested in 3 and 7.7 meter tanks at 5 Mbps with the turbidity of the water controlled by the addition of Maalox.

自适应的LMS算法及其应用 本实验通过一个二阶自回归过程来研究实时数据集平均对LMS算法的影响 包含MATLAB代码(LMS algorithm)

MPLS简介,主要介绍了MPLS的基本原理(Description of MPLS)

并联机构工作空间的求解，主要针对6sps结构。(parallel manipulator workspace .)

master thesis for wireless ad hoc network

中国移动通信互联短信网关接口协议CMPP3(CMPP3)

running erd commander form usb stick

编译原理的学习资料，我们上课用的，没有源码传，但又想下载东西，只好传了学习资料(Compilation Principle of learning materials, we used in class, there is no source Chuan, but want to download things, but to learn from the information passed)

说明：  idunno wat am i doing

说明：  求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等)，遗传算法的求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解。(Solving Bilevel Programming Problems with pole algorithm commonly used algorithms, direct search method, descent and non-numerical optimization methods (such as simulated annealing, genetic algorithms, etc.), genetic algorithm for solving approaches: the first on the top of the decision variable coding, on behalf of the were lower programming model, by solving the lower model of decision variables values into the upper model on behalf of the fitness value, and then crossover and mutation, select Options, and finally get the best solution.)