Nominalstress1

Finite element method programming Matlab

proyecto de sistema de informacion

system_LPC11xx.c配置的中文注释，对初学者学习pll有帮助。(The system_LPC11xx.c configuration of Chinese notes, for beginners to learn PLL help.)

酉空时编码W方案，使用MATLAB构建通信系统，误码性能分析(W unitary space-time coding scheme, using MATLAB to build communication systems, BER)

本程序主要是应用模糊推理进行分类，实验后处理效果明显(This procedure is mainly classified fuzzy reasoning)

本程序实现了各种不同形式的最小二乘算法的功能，程序运行效率很高。(The program functions to achieve the least-squares algorithm, run with high efficiency.)

基于matlab的双馈风力发电系统仿真模型，在不同风速条件下，系统的响应仿真(Matlab double-fed wind power generation system simulation model under different wind conditions, the response of the system simulation)

先进PID控制及其MATLAB仿真（教材+相关程序），本书从 MATLAB 仿真角度系统地介绍了 PID 控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。(Advanced PID control and MATLAB)

Energy consumption is a significant issue in ad hoc networks since mobile nodes are battery powered. In order to prolong the lifetime of ad hoc networks, it is the most critical issue to minimize the energy consumption of nodes. In this paper, we propose an energy efficient multipath routing protocol for choosing energy efficient path. This system also considers transmission power of nodes and residual energy as energy metrics in order to maximize the network lifetime and to reduce energy consumption of mobile nodes. The objective of our proposed system is to find an optimal route based on two energy metrics while choosing a route to transfer data packets. This system is implemented by using NS-2.34. Simulation results show that the proposed routing protocol with transmission power and residual energy control mode can extend the life-span of network and can achieve higher performance when compared to traditional ad-hoc on-demand multipath distance vector (AOMDV) routing protocol

运用相关矩阵法，通过计算2 根天线之间的相关系数、多输入多输出(MIMO)的相关矩阵，得到MIMO 信道系数矩阵，在其中加 入智能天线(SA)的导向向量和赋形向量，得到MIMO/SA 矩阵，由此实现对MIMO/SA 多天线空时信道的建模。(Use of the correlation matrix method, the multi-input multi-output (MIMO), correlation matrix, obtained by calculating the correlation coefficient between the two antennas, the MIMO channel coefficient matrix, Smart Antenna (SA) was added in which the guide vectors and shaped vector, obtained MIMO/SA matrix, thus achieving the modeling of the space-time channel, multi-antenna MIMO/SA.)