登录
首页 » matlab » normalize

normalize

于 2010-09-09 发布 文件大小:5KB
0 206
下载积分: 1 下载次数: 13

代码说明:

  对混沌时间学列但不预测及多步预测的输入信号信号归一化处理(Studies of chaotic time series prediction and multi-step, but not predictable input signal signal normalized)

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

  • new.m
    matlab 灰色理论函数,自己写的灰色理论函数,可以用来预测未来的数据。(matlab gray theory function)
    2013-02-03 09:44:34下载
    积分:1
  • wanbeijingyanmotaifenjie
    完备经验模态分解,是EEMD的改进算法,有效的减小了模态混叠现象。(Complete empirical mode decomposition is EEMD improved algorithm effectively reduces the modal aliasing. .)
    2015-01-29 21:21:05下载
    积分:1
  • SmartantennabeamformingAlgorithms
    智能天线波束赋形算法的比较LMS RLS(Smart antenna beamforming Algorithms)
    2010-11-15 16:21:55下载
    积分:1
  • papr
    降低ofdm的papr的方法文章,格式为pdf格式(Ofdm ways to reduce the papr article format pdf format)
    2010-01-03 13:13:38下载
    积分:1
  • gaot-7
    说明:  MATLAB7.1的关于遗传算法的所有源程序祥解(MATLAB7.1 on Genetic Algorithms all source xiang, XIE)
    2006-04-25 18:40:45下载
    积分:1
  • Interpolation
    基于小波和插值的超分辨率图像重建算法用于实现对图像的插值提高分辨率(Based on wavelet and interpolation of super-resolution image reconstruction algorithm is used to achieve improved resolution of the image interpolation)
    2011-11-17 20:01:12下载
    积分:1
  • fusionimage123456
    常用的图像融合评价指标,包括熵,交叉熵等等,分享一下,欢迎下载(calculate the entropy of information of fusion image)
    2013-11-11 10:40:12下载
    积分:1
  • NLMSechocanceller
    Digital Network Echo Canceller using NLMS in simulink
    2009-06-14 00:33:52下载
    积分:1
  • power_turbine
    power_turbine,matlab仿真文件,电力电子、功率电子控制方面很有价值,调试通过(aspects of power_turbine, matlab simulation files, power electronics, power electronics control valuable debugging through)
    2013-02-28 14:17:31下载
    积分:1
  • lib-mkl
    Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly. This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica.
    2013-03-19 01:13:45下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载