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DCT
数字水印系统的实现——基于DCT的鲁棒水印。图像中数字水印的嵌入，分块DCT反变换(Image digital DCT)
- 2021-03-25 10:19:15下载
- 积分：1
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IDCOM-controller-design
IDCOM controller design!
- 2012-05-12 17:32:22下载
- 积分：1
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beamforming_powerallocation
波束形成的能量分配算法，与中继选择方案及Larsson方案做对比( U6CE2 u675F u5F62 u6210 u7684 u808F u0206 u9141 u9121 u6CD5 uFF0C u4E0E u4E2D u7E7 u9009 u62E9 u65B9 u6848 u53CALarsson u65B9 u6848 u505A u5BF9 u6BD4)
- 2017-05-24 11:07:17下载
- 积分：1
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ANN-tools-devel.tar
A simple ANN sample code. 2 Layer neuro and the active function is sigmoid.
- 2009-10-29 13:36:48下载
- 积分：1
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AmericanPut
用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述(Monte Carlo simulation to compute the price of American option)
- 2011-05-02 13:32:49下载
- 积分：1
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MATLAB-GUI-serial-
可以实现通过matlab GUI界面做串口通信助手的软件(Can be implemented by matlab GUI interface to do serial communication software assistant)
- 2013-08-06 16:32:43下载
- 积分：1
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JC-model-Umat
Abaqus 的JC UMAT程序,适合于UMAT初学时，对UMAT程序进行了解以及熟悉对Abaqus中对UMAT子程序的使用过程(The Jc model of UMAT)
- 2020-12-07 15:09:21下载
- 积分：1
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BaseOnWaveLab
实现了小小去噪，与其他去噪方法相比取得了良好的效果(denoising based on wavelet)
- 2009-03-15 17:58:55下载
- 积分：1
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Reversible_Jump_MCMC_Bayesian_Model_Selection
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
(This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
)
- 2008-03-07 23:23:12下载
- 积分：1
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DWT_autoenh
离散小波分解下的图像增强，快速，可以与其他波分解的图像增强做对比(Discrete wavelet decomposition of image enhancement, fast, with other wave decomposition of image enhancement to do comparison)
- 2010-10-29 23:49:12下载
- 积分：1
