登录
首页 » matlab » program

program

于 2013-12-05 发布 文件大小:14KB
0 215
下载积分: 1 下载次数: 3

代码说明:

  noise cancellation programs by lms and nlms

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

  • datasets
    toolbox de MatLab, de analisis lineal discriminante
    2009-05-20 04:07:30下载
    积分:1
  • v-blast4x4_dast
    v-blast4x4_dast程序,用于mimo信道闭环系统中,加入旋转矩阵贺信道dast编码,用于提高信道容量和误比特性能(v-blast4x4_dast procedures for MIMO channel closed-loop system, by adding rotation matrix Road DAST letter codes, used to improve channel capacity and BER performance)
    2008-06-03 13:11:13下载
    积分:1
  • moxing
    对车载倒立摆的伺服系统进行设计,实现对其的控制作用(Inverted pendulum on-board servo system design, implementation, control of their role in)
    2010-01-09 10:57:56下载
    积分:1
  • buck-boost
    dc dc modelling for maximum power point tracking model in matlab
    2011-02-12 16:56:36下载
    积分:1
  • bpsk
    说明:  层空时码有三种普遍的检测算法:最大似然(Maximum Likelihood ,ML)检测算法、迫零(zero forcing ,ZF)检测算法、最小均方误差(Minimum Mean Squared Error,MMSE)检测算法。(There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algorithm, forcing zero (zero forcing, ZF) detection algorithm, minimum mean square error (Minimum Mean Squared Error, MMSE) detection algorithm.)
    2011-03-05 22:31:00下载
    积分:1
  • huiseyuce_matlab
    本算法适用于解决数学建模中的灰色预测问题,为灰色预测算法,且代码为matlab、(This algorithm is applicable to solve the mathematical modeling of gray prediction, gray prediction algorithm, and the code for matlab)
    2012-08-30 16:00:28下载
    积分:1
  • book---Optimization-Toolbox
    Optimization toolbox
    2013-12-24 10:34:01下载
    积分:1
  • huangfaxi
    说明:  关于matlab的登入界面路径是需要改的看看怎么样(login interface matlab)
    2010-04-16 18:32:54下载
    积分:1
  • matlab-music
    通过MATLAB编程实现经典名曲《卡农》的播放,非常有意思的代码(Through MATLAB programming classics " Canon" play, very interesting code)
    2013-02-20 21:20:13下载
    积分:1
  • 基于PCA的SVM分类
    说明:  选择“BreastCancer”数据集,使用支持向量机(SVM)对其进行分类。作为对比,第一次对特征集直接进行支持向量机分类,第二次对特征集进行主成分分析法的特征提取后,再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
    2020-06-20 10:20:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载