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a
说明： 1、对原文《线性时滞系统的记忆与无记忆复合H∞状态反馈控制》仿真例子作了修正。原例子根据定理1没有解。
2、对该控制方法利用matlab lmi工具箱做了仿真验证。(matlab lmi toolbox)
- 2010-07-21 22:19:04下载
- 积分：1
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kao
MAtlab file for Digital communication
- 2009-09-10 14:12:23下载
- 积分：1
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MRRC3
MRC over optical fiber
- 2013-02-12 22:00:27下载
- 积分：1
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PSNR-ON-GUI-IN-MATLAB
MATLAB CODE HKK KLLKKNXJ JSKIU MXNLZXLJ JHKS. M,NJKHZN JKHNK. JLX,
- 2013-10-07 12:07:27下载
- 积分：1
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Matlab-File-Exchange-Center
实现希尔伯特-黄变换的功能，并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数（IMF），然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。(The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear.)
- 2013-12-25 22:22:50下载
- 积分：1
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SAR_zcs_ydwc
运动误差补偿仿真
包含视线运动误差和航线运动误差，可选择单点仿真或者九点仿真
包含带有运动误差的回波产生程序和成像程序(Simulation of motion error compensation
Contains the line of sight motion error and routes motion error, you can a single point simulation or emulation nine
It contains the generator and echo imaging procedures with motion error)
- 2016-04-28 19:04:49下载
- 积分：1
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Iluminamento
Calculates the luminance of a square using Matlab.
- 2011-05-25 04:32:04下载
- 积分：1
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OrthPoly
NARMAX模型重构，用matlab实现了一个二次二次曲面的重构(NARMAX model reconstructed using Matlab achieved a second conicoid Reconstruction)
- 2007-06-21 17:52:21下载
- 积分：1
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DSSS
This is the matlab code for Direct Sequence Spread Spectrum generation
- 2015-04-15 00:19:24下载
- 积分：1
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8
说明： 它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。
偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a " response" matrix, predictive capabilities.)
- 2015-04-21 16:52:15下载
- 积分：1
