登录
首页 » matlab » biyesheji

biyesheji

于 2010-07-18 发布 文件大小:4905KB
0 249
下载积分: 1 下载次数: 7

代码说明:

  一个本科毕业设计,关键是有源码。内容为ofdm系统仿真,包括设计方案,仿真参数设置等。(A graduation project, the key is a source. Content ofdm system simulation, including the design, simulation and parameter setting.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • pls
    基于pls对光谱分析 包括数据读取,小波变换PCA分析,PLS建模,交叉验证(Pls include data on the spectrum based on reads, wavelet transform PCA analysis, PLS modeling, cross-validation)
    2021-03-31 16:49:09下载
    积分:1
  • C-C
    使用matlab计算混沌参数 相空间重构参数(Use matlab to calculate the numbers)
    2018-12-11 15:10:27下载
    积分:1
  • ContrastStretchNorm
    funç ã o que implementa o contrast strech
    2009-07-15 07:09:24下载
    积分:1
  • viterbicode
    说明:  信道编码和信道解码的程序,用于matlab的仿真的只用,可用于教学(channel coding and channel decoding procedures for the simulation of Matlab only can be used in teaching)
    2006-05-16 01:35:48下载
    积分:1
  • IEEE802_11n_encoding
    在MATLAB下进行仿真的IEEE802.11N的LDPC编码程序,希望对做LDPC的朋友有帮助(LDPC encoding program based on IEEE802.11n ,through the software of Matlab ,wish that can help the people who need .)
    2011-07-08 18:14:06下载
    积分:1
  • MDS_basic
    可以根据图中点的位置判断连接关系,然后搜寻图中的MDS(最小支配集合)(You can determine the connection between the position according to FIG midpoint, then search graph MDS (Minimum Dominating Set))
    2014-01-15 14:23:53下载
    积分:1
  • xiangguanfenxifa
    利用相关分析法对系统进行辨识,使用matlab,能够成功辨识出系统传递函数(Correlation analysis method using the system identification, the use of matlab, can successfully identify the system transfer function)
    2013-09-24 14:43:10下载
    积分:1
  • multivariate-analysis
    multivariate analysis of load data in power system
    2013-10-11 21:50:03下载
    积分:1
  • 13
    说明:  粒子群算法(PSO)是一种基于群体的随机优化技术。与其它基于群体的进化算法相比,它们均初始化为一组随机解,通过迭代搜寻最优解。不同的是:进化计算遵循适者生存原则,而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒,每个微粒都具有自己的位置向量和速度向量,以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行,通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作:①飞离最近的个体,以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)
    2015-04-21 16:39:12下载
    积分:1
  • BPSK
    对比瑞利信道分集增益后与高斯信道的性能,误码率曲线(Rayleigh Road, diversity gain compared with the Gaussian channel, after the performance, bit error rate curve)
    2010-06-13 18:44:39下载
    积分:1
  • 696516资源总数
  • 106605会员总数
  • 12今日下载