登录
首页 » matlab » PROBABILITY-DISTRIBUTION-FUNCTION

PROBABILITY-DISTRIBUTION-FUNCTION

于 2012-02-12 发布 文件大小:10KB
0 198
下载积分: 1 下载次数: 16

代码说明:

  this source code in matlab is to calculate the various probability distributions.

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

  • aBookOfMatlab
    一本讲授matlab基本知识的书籍,有很多例子,可以帮助入门的人学习。(A basic knowledge of teaching books matlab, there are many examples that can help people who started to learn.)
    2010-12-29 17:01:18下载
    积分:1
  • DMC_flexible_manipulator
    DMC_flexible_manipulator Matlab m-file
    2014-11-16 19:22:46下载
    积分:1
  • ch_model_awgn
    matlab 高斯通道模型。通信系统仿真,信道模型(matlab Gaussian channel model. Communication system simulation, the channel model)
    2011-11-22 11:45:53下载
    积分:1
  • ParallelSort.m
    A matlab code for parallel sorting. Hope be useful for you
    2015-02-14 17:08:05下载
    积分:1
  • new
    自相关函数和互相关函数的matlab计算和作图(The autocorrelation function and one of the matlab calculation and mapping function)
    2009-10-28 15:09:34下载
    积分:1
  • NSGA-II
    algorithm of NSGA-II
    2012-04-14 10:04:50下载
    积分:1
  • simplified-ELECTRE-
    本论文描述了一种基于ELECTRE排序的简化方法,使多属性决策更加简便(This paper describes a simplified approach based on ELECTRE sort, easier to make multi-attribute decision)
    2011-10-05 15:00:46下载
    积分:1
  • QAM16
    这一段代码是基于matlab的仿真编程,主要是针对16QAM的调制,代码及其仿真结果无不从各个方面详细分析了技术原理。(This piece of code is based on the Matlab simulation programming for 16QAM modulation, code and its simulation results are all from the various aspects of a detailed analysis of the technical principles.)
    2013-04-27 12:15:45下载
    积分:1
  • LUZZY-PID
    实现模糊PID控制仿真,非常有用,编程人员只需简单修改参数即可。(Fuzzy PID control simulation, very useful, programmers can simply modify the parameters.)
    2013-12-10 15:59:40下载
    积分:1
  • NFEA
    张量分解提取生物学特征,NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)
    2020-07-21 16:48:45下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载