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MATLAB-in-the-vibration-processing

于 2014-03-14 发布 文件大小:468KB
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代码说明:

  matlab在振动信号分析中的应用,主要关于信号生成,时域频域分析以及试验模态识别(matlab in vibration signal analysis, mainly on the signal generation, time domain and frequency domain analysis of experimental modal identification)

文件列表:

4振动信号预处理方法
...................\cx4_1.m,649,2007-11-22
...................\cx4_2.m,1238,2007-11-28
...................\cx4_3.m,845,2007-11-23
...................\cx4_4.m,972,2007-11-23
...................\out4_2.mat,183478,2007-11-28
...................\out4_3.mat,17487,2007-11-28
...................\y.mat,80192,2007-11-28
5振动信号时域处理方法
.....................\Acc2Dis.m,963,2008-07-04
.....................\cx5_1.asv,1274,2007-11-23
.....................\cx5_1.m,1301,2007-11-24
.....................\cx5_5.m,1812,2008-07-04
.....................\jifen.m,1743,2008-07-04
.....................\out5_1.mat,180078,2007-11-26
6振动信号频域处理方法
.....................\cx6_1.asv,1612,2007-11-24
.....................\cx6_1.m,1665,2007-11-24
.....................\cx6_2.asv,732,2007-11-24
.....................\cx6_2.m,828,2007-11-24
.....................\cx6_3.asv,1278,2007-11-24
.....................\cx6_3.m,1391,2007-11-24
.....................\cx6_4.asv,1181,2007-11-24
.....................\cx6_4.m,1183,2007-11-24
.....................\cx6_5.asv,753,2007-11-24
.....................\cx6_5.m,750,2007-11-24
.....................\cx6_6.asv,1065,2007-11-24
.....................\cx6_6.m,1084,2007-11-24
.....................\fun81.asv,322,2007-11-24
.....................\out6_1.mat,19005,2007-11-24
.....................\out6_2.mat,12205,2007-11-24
.....................\out6_3.mat,14143,2007-11-24
.....................\out6_4.mat,426,2007-11-24
.....................\out6_5.mat,9131,2007-11-24
.....................\y.mat,80192,2007-11-18
7数字信号的生成
8试验模态参数的频域识别方法
...........................\cx8_1.asv,3116,2007-11-24
...........................\cx8_1.m,3154,2007-11-25
...........................\cx8_2a.asv,1402,2007-11-25
...........................\cx8_2a.m,1477,2007-11-25
...........................\cx8_2b.asv,1475,2007-11-25
...........................\cx8_2b.m,1559,2007-11-25
...........................\cx8_3a.asv,1530,2007-11-25
...........................\cx8_3a.m,1444,2007-11-25
...........................\cx8_3b.m,1616,2007-11-25
...........................\cx8_4.asv,1357,2007-11-25
...........................\cx8_4.m,1476,2007-11-25
...........................\cx8_5.asv,2207,2007-11-25
...........................\cx8_5.m,1841,2007-11-25
...........................\fun81.m,322,2007-11-24
...........................\fun82.asv,177,2007-11-25
...........................\fun82.m,222,2007-11-25
...........................\fun83a.m,265,2007-11-25
...........................\fun83b.m,238,2007-11-25
...........................\fun85.asv,275,2007-11-25
...........................\fun85.m,511,2007-11-25
...........................\funlsq.m,194,2007-11-25
...........................\out8_1.mat,105,2007-11-25
...........................\out8_2a.mat,140,2007-11-25
...........................\out8_2b.mat,140,2007-11-25
...........................\out8_3a.mat,140,2007-11-25
...........................\out8_4.mat,140,2007-11-25
...........................\out8_5.mat,35,2007-11-25
...........................\y.mat,80192,2007-11-18
9试验模态参数的时域识别方法
...........................\cx9_1.asv,2005,2007-11-25
...........................\cx9_1.m,811,2007-11-25
...........................\cx9_2.asv,993,2007-11-25
...........................\cx9_2.m,785,2007-11-25
...........................\cx9_3.asv,1345,2007-11-25
...........................\cx9_3.m,2033,2007-11-26
...........................\cx9_4.m,2199,2007-11-26
...........................\cx9_5.m,2027,2007-11-26
...........................\cx9_6.asv,1928,2007-11-26
...........................\cx9_6.m,1936,2007-11-26
...........................\out9_1.mat,4928,2007-11-25
...........................\out9_2.mat,2434,2007-11-25
...........................\out9_3.mat,140,2007-11-26
...........................\out9_4.mat,105,2007-11-26
...........................\out9_5.mat,175,2007-11-26
...........................\out9_6.mat,175,2007-11-26
...........................\y.mat,80192,2007-11-18

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    说明:  摘 要 盲图像恢复的主要困难是信息不足,而为了恢复图像和确定点扩散函数需要适当的先验知识。解决这个问题的法、 法以及正则化方法等。但是这些方法的计算量都太大,针对上述方法的不足,文章提出了一种恢复图方法有图像的新算法,它通过恢复残差的最小化和后验概率的最大化来估计参数和恢复图像。其中,巧妙地利用了最陡梯度法和 共轭梯度法的迭代求解。对由于运动造成的模糊图像,可以明显地改善图像的质量,实验结果证明,在对模糊操作没有严格限制的情况下,仍可得到较好的恢复图像。(: : 2$*/<$ I?E L691/6@ F9MM9G:0=@ R9=? S092F 91/DE 6EC=76/=972 9C 92C:MM9G9E2= 92M761/=972$I?9C G/00C M76 L67LE6 92G76L7 ( ) =972 7M/L69769 U27R0EFDE /S7:= =?E 91/DE /2F =?E L792=8CL6E/F M:2G=972 &[ $RE008U27R CL/GE8/F/L=9OE 6ED:0/69</= 1E=?7F /2F 3+ 1E=?7F M76 91/DE 6EC=76/=972 /6E E =E2FEF =7 /FF6ECC =?9C L67S0E1$] 2ER 1E=?7F 9C L67L7CEF =7 6EC= S0:6 91/DE :C92D+5 /2F 5E/C=V:/6EC 1E=?7F$W= :CE 192919<E/G7C= M:2G=972 /2F 1/ 919<E &[ M:2G=972 =7 6EC= =?E 91/DE /2F 9FE2=9M@ =?E L/6/1E=E6C$I?9C 1E=?7F :CE C=EELEC= FECGE2= /2F G72Q:D/=E D6/F9E2= 1E=?7FC =7 192919<E , G7C= M:2G=972 /2F 1/ 919<E L7C=E69769 L67S/S909=@ =7 91L67OE =?E S0:6 91/DE X?9G? 9C /0C7 =7 91L67OE =?E 91/DE V: =@ 92 C71E FED6EE R9=? 27 C=69G= 0919=/=972$)
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