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MF-DFA
mfdfa方法用于验证非线性时间序列的长程相关性和多重分形特性。(mfdfa method has been applied to nonlinear time series to verify the long-range correlation and multi-fractal characteristics.)
- 2009-06-08 17:27:42下载
- 积分：1
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sr
说明： 商人过河的问题，三个商人各带一个仆人、、、(Merchants across the river mathematical modeling problem is a classic problem)
- 2010-03-19 01:14:02下载
- 积分：1
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Poincare
说明： 绘制庞加莱截面图,在相空间中适当（要有利于观察系统的运动特征和变化，如截面不能与轨线相切，更不能包含轨线）选取一截面，在此截面上某一对共轭变量如x1和x.1取固定值，称此截面为Poincare截面，相空间的连续轨迹与Poincare截面的交点成为截点。(mapping Poincare section, in phase space appropriate (observation system should be beneficial to the movement and change, if not with the section line tangent track, rail lines not included) selected a cross section, in this section for a pair of conjugate variables such as x1 and X.1 from fixed value, stating that this section of the Poincare section, phase space for the track and Poincare sections of the intersection as intercept point.)
- 2006-04-30 21:18:22下载
- 积分：1
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PSKRecovery
M-PSK Recovery for Modem Design.
- 2013-08-25 18:45:06下载
- 积分：1
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ask
Amplitude Shift Keying Simulation
- 2011-09-10 15:44:06下载
- 积分：1
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jpeg-matlab
这是一个很实现的MATLAB实现JPEG源程序,希望对大家有帮忙(This is a very achievable JPEG source MATLAB to achieve, in the hope that we have to help)
- 2008-01-03 22:20:55下载
- 积分：1
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matrixaco
一个基于矩阵分布的改进型蚁群算法（ACO），可用于矩形区域分布的孔加工路径规划(A matrix based on the distribution of improved ant colony algorithm (ACO), can be used for regional distribution of hole machining rectangular path planning)
- 2011-11-22 23:20:29下载
- 积分：1
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fft_pwr
把已知的时域信号进行傅里叶变换在频域上显示。(If you are running a lot of time based simulations, often you will want to see the frequency response. Here is a function that may help.)
- 2013-10-20 12:24:57下载
- 积分：1
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4
说明： master of body language
- 2010-09-06 21:39:47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
