-
hanningiectest
对于IEC谐波检测的程序，采用hanning窗函数，然而求解(For the IEC harmonic detection process, using hanning window function, but the solution)
- 2009-12-13 11:24:42下载
- 积分：1
-
handleParInfoGain
This file gives an example how to use the function "ParInfoGain.m"
The user can define if a matlabpool should be used or not.
This file shows an example using the well known fisher iris datafile
- 2010-12-13 11:18:55下载
- 积分：1
-
Thermokoppels
To read thermocouples in MatLab using a NI USB carrier
- 2012-08-28 22:20:19下载
- 积分：1
-
demospp
in this program I have simulated SPP method for iris data.
- 2012-05-27 17:46:17下载
- 积分：1
-
crack_Hudson
岩石物理模型建模的另一种方法，同样可以翻译弹性参数与物性参数间的关系。(Another method of rock physics modeling, the same can translation parameters and physical parameters of elastic)
- 2020-10-26 16:29:59下载
- 积分：1
-
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
-
256-colortograyscale
256色转灰度图，用matlab实现一副彩色图像的灰度变换，但必须是bmp格式的图像(256-color to grayscale, using matlab to achieve a color image of the gray-scale transformation, but it must be bmp format images)
- 2010-05-19 23:18:58下载
- 积分：1
-
runATGP
ATGP endmember extraction algorithm from Washington DC hyperspectral data!
- 2013-08-07 03:32:54下载
- 积分：1
-
Dynamic-modeling-and-system--
基于MATLAB的动态模型与系统仿真工具——Simu(Dynamic modeling and system simulation tools based on MATLAB )
- 2012-11-10 19:29:26下载
- 积分：1
-
parallel
仿真了跳频系统中并行捕获的性能，希望对大家有帮助(parallel acquisition )
- 2010-06-24 10:27:35下载
- 积分：1
