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_Rudolf._Lidl__H

于 2015-04-06 发布 文件大小:1480KB
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  Book on Information theory and its various applications.

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  • ML
    说明:  %极大似然方法 gcn为高斯有色噪声!!!比较不同点( Maximum likelihood method for Gaussian colored noise GCN! ! ! Compare different points)
    2008-09-16 21:22:46下载
    积分:1
  • STRUCTURAL-VIBRATION-CONTROL
    采用MR阻尼半主动振动控制的matlab仿真程序(THESE ARE MATALB SIMULATIONS FOR STRUCTURAL VIBRATION CONTROL SYSTEM USING MR DAMPER WITH SEMI ACTIVE CONTROL ALGORITHMS.)
    2013-06-09 17:14:05下载
    积分:1
  • zizuokalman
    说明:  这是一个关于卡尔曼滤波的源程序,可以帮助初学者学习该滤波算法(This is a Kalman filter on the source, can help beginners learn the filtering algorithm)
    2011-04-01 09:15:35下载
    积分:1
  • SYSTEM
    MATLAB HELP FUNDENMENTAL IN YOUR CODE 3 FILE IN
    2014-11-22 01:53:40下载
    积分:1
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    matlab的程序,如交互多模,CA,CV,Singer模型的一些仿真仅供参考。(Some matlab procedures, such as interactive multimode, CA,CV,Singer model of some simulation is for reference only.)
    2020-06-24 06:00:02下载
    积分:1
  • fluxpark
    基于MATLAB实现磁链计算,程序调试成功,可直接使用(Flux calculation based on MATLAB implementation, debugging success can be directly used)
    2010-06-01 20:21:07下载
    积分:1
  • pca
    PCA算法的程序,能完成非高斯信号的预处理(PCA algorithm procedure to complete the non-Gaussian signal preprocessing)
    2007-09-06 21:10:24下载
    积分:1
  • shiliangkongzhidq
    说明:  这是双馈电机的矢量调制方法的仿真,仿真效果还可以。(This is doubly-fed vector modulation method of simulation, the simulation results can also.)
    2010-04-27 20:35:11下载
    积分:1
  • PartiallySuppressedTest
    Partially Suppressed Test extends Test Case.
    2014-02-21 11:29:58下载
    积分:1
  • classical_music_2
    MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲,信号处理的观测空间可以分解为信号子空间和噪声子空间,显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成,噪声子空间则由协方差矩阵中所有最小特征值(噪声方差)对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)
    2013-09-15 20:26:53下载
    积分:1
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