登录
首页 » matlab » CSNN

CSNN

于 2011-12-06 发布 文件大小:39KB
0 280
下载积分: 1 下载次数: 26

代码说明:

  Cost sensitive classification code

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

  • ApplicationofFuzzyNeuralNetworkinDriverFatigueDete
    可利用MATLAB实现模糊神经网络仿真,不过这里还没有MATLAB源码,期待大家将其实现(Can make use of MATLAB realization of fuzzy neural network simulation, but no MATLAB source code here, we look forward to its realization)
    2009-01-11 17:03:40下载
    积分:1
  • read-a-wav-file
    说明:  该程序实现了语音数据转换,将一个 wav 格式的文件读入计算机,为语音信号的进一步处理做准备。(The program realize the speech data conversion. It can read a wav file into the pc, which put a way for the speech signal further study.)
    2011-03-10 19:01:04下载
    积分:1
  • BT-simulation
    建高斯白噪声,.构建了时域上的信号,计算功率谱(Construction Gaussian white noise. Constructed in the time domain signal, calculate the power spectrum)
    2013-05-27 10:08:29下载
    积分:1
  • AAF
    协作通信下AF协作模式的MATLAB仿真代码(cooperative communication)
    2010-06-09 09:52:15下载
    积分:1
  • matlab_code
    这是计算各种形状的散射程序,对研究电磁散射的同行很有用(This is the shape of the scattering calculation of the various procedures, the study of electromagnetic scattering useful peer)
    2021-04-29 15:38:43下载
    积分:1
  • Regularity_Rythm
    After we calculate the R peaks of the ecg signal, we identify different criteria : a) Heart rate. b) Regularity of the R-R peaks (Look at the R-R distances). 1. Regular (are they equidistant apart). 2. Irregular. c) Rhythm 1. Tachycardia ==> Fast. 2. Bradychardia ==> Slow. 3. Normal.
    2010-10-05 18:03:45下载
    积分:1
  • home-security-system-btech-ieee-ece-project
    Home securlabity system implemented in Mat
    2013-03-23 22:55:07下载
    积分:1
  • fangzhen3
    基于训练序列的MIMO信道最小二乘估计算法蒙特卡洛仿真(Training sequence based MIMO channel estimation algorithms least squares Monte Carlo simulation)
    2016-04-28 19:52:38下载
    积分:1
  • project1
    z-source inverter simulation. single phase.
    2011-06-03 02:33:40下载
    积分:1
  • DUO-CHI-DU
    许多重要的机械系统平稳运行机制下(负载),但许多观察到的症状在某种程度上取决于条件在系统负荷和/或环境条件。因此状态监测的一个了这类系统应该有一些可能的症状观察到一个标准的荷载工况。(Many critical mechanical systems operate in a non-stationary regime (load ), and many observed symptoms of its condition depend in a some way on a system load and/or environmental conditions. Hence the condition monitoring of a such systems ought to have some possibility of rescaling of observed symptoms to a standard load condition. This papershows such a possibility of a symptoms rescaling in application to multidimensional vibration condition monitoring. It is shown on some real example of vibration condition monitoring, that rescaling of symptoms can make more reliable theassessment of current system condition, as well as its prognosis.)
    2012-04-11 14:35:44下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载