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S变换
说明: S 变换是 Stockwell(1996)等提出的一个时-频分析方法,它结合了短时 Fourier 变换和小波变换的特点,能够完全无损地实现逆变换。(S-transform is a time-frequency analysis method proposed by Stockwell (1996). It combines the characteristics of short-time Fourier transform and wavelet transform, and can realize inverse transform completely without loss.)
- 2020-10-18 09:57:26下载
- 积分:1
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ganzhiqisuanfa
主要是感知器程序集,用于模式分类,欢迎您的访问,谢谢您的支持和下载
(Sensor assembly is mainly used for pattern classification, welcome your visit, thank you for your support and download)
- 2010-10-21 19:22:53下载
- 积分:1
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stator-induction
说明: 电机定子绕组故障,它可以准确诊断定子绕组故障(Stator winding fault, it can be accurate diagnosis of stator winding fault)
- 2011-03-18 15:35:20下载
- 积分:1
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BoostArchiveDemo
Boost实现序列化,c++bulderXE2编译。(Boost achieve serialization)
- 2014-11-28 15:43:34下载
- 积分:1
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jpegrestoration
jpeg restoration using matlab p-file
- 2011-01-12 08:35:38下载
- 积分:1
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LISTING5_1
Tactial+and+Strategic+Missile+Guidance一书程序源码(For Mac in Matlab)-(Tactial+and+Strategic+Missile+Guidance book program source code (For Mac in Matlab))
- 2013-10-04 10:44:11下载
- 积分:1
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PMSM
在Simulink平台上对永磁同步电机(PMSM)实现直接转矩控制的仿真模型,使用无传感器控制方法,是国外的成品模型。(On the platform in Simulink for permanent magnet synchronous motor (PMSM) direct torque control of realize simulation model, the use of sensorless control method, is abroad finished product model.)
- 2020-10-26 18:29:59下载
- 积分:1
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BIHT_demo
for compression sensing
- 2013-08-02 16:03:24下载
- 积分:1
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SAR-pro
MATLAB编写的SAR成像程序,数据采用的是仿真数据(matlab prepared SAR imaging program, using the simulation data.)
- 2013-12-26 13:55:42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