matlab

说明：  针对网络社团划分的EO算法（WEO算法），对于研究复杂网络很有帮助！(matlab Code for Complex Network Community)

利用计算机编程实现加性干扰信号的维纳滤波(Use of computer programming plus interference signal Wiener filter)

matlab课程编程【谷速软件】 3D纹理 可以作为参考使用学习(Courses matlab software programming speed [Valley] 3D textures can be used as references to learn)

this file is modal analysis of discrete dynamic systems in matlab m.file

power system analysis- load flow analysis ppt

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

本实验主要是学会利用matlab软件，在用编程语言实现单样本均值和方差的区间估计的过程中，调用matlab工具中的数学函数来完成计算功能，并绘制出样本均值概率分布图和样本方差分布图。(This experiment is to learn to use matlab software, a programming language to achieve a single sample interval estimation of the mean and variance of the process, call matlab tool to calculate mathematical functions to perform the function, and draw out the probability distribution of the sample mean and sample variance distribution Figure.)

计算平飞所用推力，确定飞机的上升性能，确定飞机的续航性能等 (performance computation of the flight)

LTE模型 LTE模型 LTE模型 LTE模型(LTE LTE model model model LTE LTE model)

用于分类的相关向量机（RVM）算法，可以实现很好的分类。(RVM algorithm can be good for classification. )