登录
首页 » matlab » MATLAB

MATLAB

于 2014-02-18 发布 文件大小:2KB
0 209
下载积分: 1 下载次数: 4

代码说明:

  使用MAtlab演奏最炫民族风,真的可以听到音乐哦。(Use MAtlab played most unusual national wind can really hear the music, oh.)

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

  • WeiFenFangChen
    各种微分方程使用MATLAB求解程序,详细完整(various derivative equation by matlab)
    2010-08-18 15:53:42下载
    积分:1
  • map-with--adj-matrix
    根据邻接矩阵作图 matlab实现 源代码(mapping according to the adjacency matrix )
    2014-02-09 09:11:51下载
    积分:1
  • particle
    粒子滤波的MATLAB程序,是当今最新的非线性滤波算法(Particle filter MATLAB procedures, is the latest non-linear filtering algorithm)
    2008-03-12 10:53:05下载
    积分:1
  • MIMOSystemblindidentification
    用MATLAB实现MIMO系统盲辨识,包含详细的说明文件和源码,非常经典(Using MATLAB realize blind MIMO system identification, contains a detailed documentation and source code, very classic)
    2020-08-25 18:38:15下载
    积分:1
  • 用“时域最小平方误差准则” 设计IIR DF
    试用时域最小平方误差准则(最小平方逆设计)设计一个具有四项系数的IIR DF的系统函数,使其在y(n)=[3,2,1]输入激励下,输出v(n)逼近d(n)=[2,0.2,0.05]。令v(-1)=v(-2)=0。求出v(n)的前8个样值与d(n)进行比较。用matlab实现了此要求。(trial at the least square error domain guidelines (minimum inverse square design) design with a four DF IIR coefficient of the system function, so in y (n) = [3,2,1] incentive to import, export v (n) approximation d (n) = [2,0.2,0.05]. So v (1) = v (2) = 0. Get v (n) of eight samples value d (n) comparisons. Using Matlab realization of this request.)
    2005-07-17 22:06:39下载
    积分:1
  • key1
    语音发音动作,画唇和舌头的正面侧面图的matlab程序。(draw the picture of lip and tongue.)
    2012-05-02 22:20:56下载
    积分:1
  • ModHausdorffDist
    计算modified hausdorff距离 matlab函数(modified hausdorff distance (matlab function))
    2011-07-15 10:43:44下载
    积分:1
  • 45-test-images
    45张图像处理中经常用到的示例图片,全部为bmp图(45 sample pictures frequently used in image processing, all the bmp maps)
    2012-12-26 20:22:05下载
    积分:1
  • adaptive_sensig_project
    adaptive spectrum sensing using SNAR comparioson and relative doppler shift (effect) between primary and secondary user
    2010-03-03 14:24:43下载
    积分:1
  • ACO
    TSP问题的人工蚁群算法中,假设m只蚂蚁在图的相邻节点间移动,从而协作异步地得到问题的解。每只蚂蚁的一步转移概率由图中的每条边上的两类参数决定:1、信息素质,也称信息素痕迹。2、可见度,即先验值。(Artificial ant colony algorithm TSP problem, assume that m ants move between adjacent nodes in the graph, which asynchronously collaborate get problem solution. Each ant transition probability is determined by the figure of two kinds of parameters for each edge: 1, the quality of information, also called pheromone trails. 2, visibility, ie priors.)
    2016-10-10 20:51:31下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载