登录
首页 » matlab » Untitled

Untitled

于 2012-11-08 发布 文件大小:1KB
0 220
下载积分: 1 下载次数: 10

代码说明:

  生成白噪声信号:生成白噪声信号,生成白噪声信号(Generating a white noise signal)

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

  • project_min_by_min
    运用matlab编写的vwap投资策略,运用于机构投资者减小冲击成本(Vwap investment strategy by matlab)
    2010-07-15 17:10:55下载
    积分:1
  • random-number
    说明:  一大批产生随机数的经典算法,非常有用,推荐实验中应用(A large number of classic algorithms for generating random numbers, very useful)
    2011-03-23 22:20:46下载
    积分:1
  • kltTrackSIMPLEmatlab
    This is KLT tracking code for matlab.(Simple tracking ver)
    2010-05-16 17:49:34下载
    积分:1
  • image-editor
    mage compression is one of the most important step in image transmission and storage. Most of the state-of-art image compression techniques are spatial based. In this code, a histogram based image compression technique is implemented based on multi-level image thresholding. The gray scale of the image is divided into crisp group of probabilistic partition
    2014-09-29 14:36:39下载
    积分:1
  • Desktop
    运用matlab混沌系统中的logistic映射的仿真; 运用keil对八路电子抢答器,有抢答和没抢答的设计,效果显示(Mapping of logistic chaotic systems using matlab simulation Using the keil to eight-way digital vies to answer first, vies to answer first and not vies to answer first the design, display effect )
    2013-05-04 16:52:36下载
    积分:1
  • ACOBP
    用蚁群算法优化BP神经网络,然后用于预测,非常实用,适合初学者。(This is the aco-bp code in matlab)
    2021-02-26 00:59:37下载
    积分:1
  • relativemotion
    This code is used for modeling frequency response and phase change of accelerometer.
    2007-07-27 02:17:31下载
    积分:1
  • MATLAB1
    matlab codes for ant colony optimization
    2009-12-11 15:16:31下载
    积分:1
  • Volterra
    37724108Volterra-Matlab混沌时间序列的Volterra一步预测的Matlab程序(37724108Volterra-Matlab chaotic time series prediction Volterra step of Matlab procedures)
    2008-07-28 18:59:23下载
    积分:1
  • BAMIC
    BAMIC是一种multi-instance聚类的算法。(BAMIC is a package for multi-instance clustering. This package includes the MATLAB implementation of BAMIC, which is designed to deal with unsupervised multi-label learning problems. It is particularly useful when real-world objects are represented under multi-instance setting while the labels of these objects are unknown. )
    2011-05-12 16:36:21下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载