-
work
事先计算图像的标准差,可以用来评判图像变换是否可信(Calculate the standard deviation of the prior image can be used to judge the credibility of image transformation)
- 2011-02-16 10:44:11下载
- 积分:1
-
Test_new2
说明: matlab下模式识别分类后的统计,画图,简单,通用。(matlab classified under the statistical pattern recognition, drawing, simple, common.)
- 2011-03-17 13:50:26下载
- 积分:1
-
ancbeamfem
锚杆挡墙的立柱和锚杆内力的有限元分析,可以分析立柱在挡墙土压力作用下的挠曲线,以及内力大小,对于锚杆挡墙的优化设计具有较大作用。(FEM analysis on the internal forces and deflection of beam for anchoring retaining wall)
- 2011-04-28 21:25:48下载
- 积分:1
-
LMS
LMS算法,自适应算法中的最小均方误差算法。(LMS algorithm, adaptive algorithm, the minimum mean square error algorithm.)
- 2011-06-28 15:50:46下载
- 积分:1
-
Untitled2
多縫夫朗禾費衍射模擬,對於仿真干涉模擬有非常大的幫助(Multi-slit Fraunhofer diffraction Wo fees simulation, emulation interference simulation for a very big help)
- 2013-12-29 15:37:40下载
- 积分:1
-
Acquisition-of-the-speech-signal
matlab语音信号的采集,以及经过加噪后的滤波器过滤及相关的matlab程序(Matlab voice signal acquisition, and after adding noise after filtering and matlab program)
- 2013-05-06 14:17:19下载
- 积分:1
-
med2d
一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+,]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上,对保留信号进行最小熵反褶积,增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题,实车测试表明: 与共振解调技术相比,该方法提取的滚动轴承故障特征更加明显,更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )
- 2020-12-04 22:49:24下载
- 积分:1
-
MATLAB-ICT
MATLAB编程实现连续断层工业CT图像的三维重建()
- 2007-09-13 13:42:50下载
- 积分:1
-
Digit_Recognition
数字识别的matlab仿真,通过图像裁剪,再有神经网络训练,可以达到很好的效果 (Digital Identification of matlab simulation, cutting through the images, there was a further neural network training, can achieve good results)
- 2008-06-27 10:57:44下载
- 积分:1
-
Reconocimiento
Artificial Neural Network for classification of letter
- 2014-10-07 11:46:31下载
- 积分:1