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FEM
说明： 用有限差分法求解电机槽电磁场的经典案例，对象为一个闭口槽，激励源为电流密度(Motor using the finite difference method to solve a classic case of slot fields)
- 2011-03-16 22:05:02下载
- 积分：1
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jiasudugonglvpu
对加速度时间历程进行频谱分析得到功率谱密度，按下述程序计算加权加速度均方根值(Acceleration time history of spectral analysis to obtain the power spectral density, calculated according to the following procedure weighted acceleration RMS)
- 2014-11-28 17:14:07下载
- 积分：1
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beam_flection
The program uses a simple algorithm to calculate the deflection at each point of a cantilever beam subjected to arbitrary loading distribution, the program also calculates and plots the bending moment and shear force in the beam.
- 2014-02-25 15:11:15下载
- 积分：1
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ungkqhgv
有小波分析的盲信号处理，采用波束成形技术的BER计算，采用偏最小二乘法，多元数据分析的主分量分析投影，部分实现了追踪测速迭代松弛算法，欢迎大家下载学习。( There Wavelet Analysis Blind Signal Processing, By applying the beam forming technology of BER Partial least squares method, Principal component analysis of multivariate data analysis projection, Partially achieved tracking speed iterative relaxation algorithm, Welcome to download the study.)
- 2016-04-01 23:45:42下载
- 积分：1
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100imageprocessing
matlab 图像处理基础实例 100个基础图像实例 适合初学者(matlab code for fundemental image processing. 100 basical exmaples of image processing. Especially useful to beginners.)
- 2010-11-30 10:10:33下载
- 积分：1
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robotic
robotic code fore rotation
- 2011-01-04 03:35:42下载
- 积分：1
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pbf
this the function written in matalb to addned the white gaussian noise removal
- 2011-08-06 20:27:42下载
- 积分：1
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FLD_based-Face-Recognition-System_v2
FLD_based Face Recognition System_v22帮助大家学习LDA算法，解决线性可分的问题(FLD_based Face Recognition System_v2)
- 2013-11-18 21:25:52下载
- 积分：1
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inpainting
image inpainting
(CS7495 Final Project
Sooraj Bhat
Object Removal by Exemplar-based Inpainting
USING THE CODE
Everything was done in Matlab and MEX (i.e. a C function callable from
Matlab). First, the C code needs to be compiled. At the Matlab
prompt, type:
mex bestexemplarhelper.c
You should then be able to run the following (which takes ~2mins on my
2GHz Pentium 4 laptop with 256MB of RAM):
[i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0])
A smaller run (~25 seconds) would be:
[i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0])
To visualize:
plotall
close movie(mov)
SAMPLE IMAGES & RESULTS
*0.png The original images ( bw and bungee )
*{1,2}.png The different fill region masks.
*P2.png Plots of confidence and data terms.
*P5.png Plots of original, fill region, inpainted images and
confidence and data terms.
Other images in the dir contain redundant information. I di)
- 2010-06-19 21:00:49下载
- 积分：1
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frame
通过剪力弯矩的方程，计算混凝土框架结果的强度和刚度极限(frame)
- 2010-08-12 22:51:07下载
- 积分：1
