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PSO-matlab-code
粒子群算法的matlab源代码,偶尔搜到的,不知道质量咋样(PSO algorithm matlab source code, and occasionally to search, do not know the quality of Zeyang)
- 2011-05-01 23:54:10下载
- 积分:1
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flpropui
flpropui - Reservoir fluid properties from Batzle-Wang relations with interactive input/output dialog boxes.
- 2011-05-15 01:08:06下载
- 积分:1
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Sparse-Recovery
稀疏重构的理论基础和数值方法
(英文原版图书)(Theoretical Foundations and Numerical Methods for Sparse Recovery)
- 2013-12-19 16:04:27下载
- 积分:1
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BPSK-ber-with-MMSE
基于MMSE均衡的BPSK信号BER的分析与系统性能分析( BPSK signal BER analysis uising MMSE equalization )
- 2021-03-23 19:39:15下载
- 积分:1
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curve-combine
MATLAB提供了各种曲线拟合方法,例如:Exponential, Fourier, Gaussing, Interpolant, Polynomial, Power, Rational, Smoothing Spline, Sum of Functions, Weibull等,当然,也可以使用 Custom Equations.
cftool不仅可以绘制拟合后的曲线、给出拟合参数,还能给出拟合好坏的评价参数(Goodness of fit)如SSE, R-square, RMSE等数据,非常好用。但是如果我们已经确定了拟合的方法,只需要对数据进行计算,那么这种GUI的操作方式就不太适合了,比如在m文件中就不方便直接调用cftool。
(matlab has given a lot of method for curve combine ,we will give a new method and provide a matlab code.)
- 2012-08-26 17:55:07下载
- 积分:1
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ltc5
估计功率谱的经典方法,即周期图和修正周期图法(Estimate the power spectrum of the classic method, ie, the period map and corrected periodogram)
- 2013-11-10 18:25:48下载
- 积分:1
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bypass-UAC-souce-code
本代码可以实现绕过win7UAC(用户账户控制),可以很好的实现(This code can realize to bypass win7UAC, (User Account Control), can achieve a good)
- 2013-04-19 11:37:28下载
- 积分:1
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SinglePhase_Semi_Converter
matlab based single phase semi converter simulation model for power elecyronics study
- 2012-11-18 01:09:33下载
- 积分:1
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MATLAB优化算法案例分析与应用
电子书籍:MATLAB优化算法案例分析与应用
课本源码:MATLAB优化算法案例分析与应用(Electronic Books: Case Analysis and Application of MATLAB Optimized Algorithms
Textbook source code: case analysis and application of MATLAB optimization algorithm)
- 2019-03-27 14:30:46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