登录
首页 » matlab » MATLAB-Demystified

MATLAB-Demystified

于 2011-05-05 发布 文件大小:2221KB
0 218
下载积分: 1 下载次数: 1

代码说明:

  matlab demystified - this helps with matlab

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

  • jiyuMATLABandwavelet
    基于MATLAB的小波变换信号消噪处理.rar这是一片期刊,主要讲述了小波变换在信号消噪方面的应用,相信对做这一方面研究的朋友会有帮助(MATLAB-based signal denoising wavelet transform treatment. Rar This is a journal, focuses on the wavelet transform in signal denoising applications, I believe that to do this aspect of the study will be helpful to Friend)
    2008-03-07 01:05:30下载
    积分:1
  • Movingtargetdetectionandtheprincipleofachievingmat
    Moving target detection and the principle of achieving matlab
    2008-04-16 11:41:33下载
    积分:1
  • LMS_Newton
    基于牛顿法的LMS自适应滤波器设计,基于MATLAB实现(Newton method based on the LMS adaptive filter based on MATLAB, design )
    2011-09-16 15:17:54下载
    积分:1
  • hoanthanh
    说明:  这是一个具有导频和预失真的MIMO-OFDM的simulink(this is a simulink about MIMO-OFDM with pilot aided and pre-distortion)
    2021-03-24 11:13:32下载
    积分:1
  • brushlessdc
    基于Matlab的无刷直流电动机的m文件仿真( brushless DC motor matlab simulink)
    2010-05-22 13:42:28下载
    积分:1
  • simulink-tutorial
    Handbook matlab simulink
    2013-12-24 15:07:24下载
    积分:1
  • 庞加莱截面图法
    说明:  庞加莱截面法,用于非线性动力学分析,可运行!(Applications of Poincare map in nonlinear dynamics)
    2019-12-18 16:46:49下载
    积分:1
  • OFDMGENERATION
    orthogonal frequency modulation technique complete code
    2010-07-11 12:36:21下载
    积分:1
  • bss
    To calculate symmetric bispectrum
    2010-11-03 01:04:26下载
    积分:1
  • 半监督分类算法
    半监督学习(Semi-Supervised Learning,SSL)是模式识别和机器学习领域研究的重点问题,是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据,以及同时使用标记数据,来进行模式识别工作。当使用半监督学习时,将会要求尽量少的人员来从事工作,同时,又能够带来比较高的准确性,因此,半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
    2021-04-12 11:28:57下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载