登录
首页 » matlab » Cours__015

Cours__015

于 2014-12-12 发布 文件大小:347KB
0 221
下载积分: 1 下载次数: 2

代码说明:

  convertiseur analogique numerique cours

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

  • shuzhifenximatlab
    这是关于基本的数值分析程序!采用压缩包上载,是一些子程序组成的。(on basic numerical analysis program! Using compression on the packet is composed of some routines.)
    2006-05-31 08:56:38下载
    积分:1
  • blind_channel_estimation_STBC
    Ofdm simulation with equalization
    2011-05-03 19:22:11下载
    积分:1
  • elastic-machenics--example-program
    弹性力学自动计算软件,仅适用于图片中题目(Software automatically calculates the elasticity is only applicable to the subject image)
    2011-11-22 16:27:25下载
    积分:1
  • viterbi_trellis_generator
    viterbi trellis generator
    2010-01-20 00:23:53下载
    积分:1
  • UNB
    说明:  UNB超窄带技术作为一项新兴技术为业内关注,源代码是matlab中simulink的模拟仿真系统,仿真了超窄带体系的通信系统发送和接受,以及误码率的分析等(UNB Ultra narrowband technology as an emerging technology for the industry concerned, the source code is in simulink of matlab simulation system, simulation of ultra-narrow-band system, communications system to send and receive, as well as bit error rate analysis)
    2009-08-26 23:21:04下载
    积分:1
  • TCoreRKC2
    simulates the motion of a pendulum in 3-D usin RK-4.
    2011-08-27 22:52:20下载
    积分:1
  • EMD-about-power-quality
    HHT变换之END分解程序,以及详细的例子--power system power quality disturbance(HHT and EMD and examples about power quality)
    2013-05-12 21:32:41下载
    积分:1
  • learnmatlab7
    matlab7.0英文版学习手册,很不错的,推荐一下!(English learning matlab7.0 manual, very good, recommend you!)
    2008-03-21 18:08:16下载
    积分:1
  • T-HOMEWORK
    用Parzen窗法或者kn近邻法估计概率密度函数,得出贝叶斯分类器,对测试样本进行测试,比较与参数估计基础上得到的分类器和分类性能的差别.2. 同时采用身高和体重数据作为特征,用Fisher线性判别方法求分类器,将该分类器应用到训练和测试样本,考察训练和测试错误情况。将训练样本和求得的决策边界画到图上,同时把以往用Bayes方法求得的分类器也画到图上,比较结果的异同。3.选择上述或以前实验的任意一种方法,用留一法在训练集上估计错误率,与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)
    2012-04-17 22:59:50下载
    积分:1
  • Slam3d
    3 Dimension simultaneous localization and mapping (SLAM) problem asks if it is possible for a mobile robot to be placed at an unknown location in an unknown environment and for the robot to incrementally build a consistent map of this environment while simultaneously determining its location within this map
    2012-11-30 17:04:06下载
    积分:1
  • 696516资源总数
  • 106459会员总数
  • 0今日下载