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DOA
利用music算法对 DOA 进行估计，基于均匀线阵(estimation of DOA bymusic)
- 2009-06-27 10:43:10下载
- 积分：1
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matlab1
说明： MATLAB在数据的统计与分析和信号处理中进行应用
(Statistics and MATLAB data analysis and signal processing applied)
- 2010-04-15 13:01:29下载
- 积分：1
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zero-finder.m
TESTZERO is a collection of nonlinear functions that may be used to test zero finders, that is, programs that seek a root of a scalar equation F(X)=0.
- 2011-05-04 08:46:44下载
- 积分：1
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PSO
matlab实现的PSO优化算法，非常易于使用(matlab implementation of the PSO optimization algorithm, very easy to use)
- 2013-05-21 23:30:33下载
- 积分：1
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matlab实现的C4.5分类决策树算法
说明： C4.5决策树分类算法，用于进行数据分类(Classification algorithm)
- 2019-12-07 19:24:32下载
- 积分：1
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sig_gen
it generates the BPSK signal
- 2013-03-23 22:42:48下载
- 积分：1
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xiandaikongzhililun
电力牵引电机控制，设计的目的是用MatLab得到系统的状态空间模型，计算系统的传递函数。并预测系统的阶跃响应，并判断系统是否能控和能观。(Electric traction motor control, is designed to be used MatLab system state space model to calculate the system transfer function. And predict the system step response and determine whether the system is able to control and observability.)
- 2008-12-24 15:36:02下载
- 积分：1
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kurtICA
本科毕业论文，基于非高斯性最大化的盲信号分离方法，适合本科生做毕业设计。(Undergraduate thesis, based on maximization of non-Gaussian signal separation method, suitable for undergraduate students to do graduate design.)
- 2010-08-30 15:31:29下载
- 积分：1
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PVystems
光电系统与信号处理是学习光纤通信和光纤检测设备的重要资料(PV systems and signal processing is to study optical fiber communication and fiber optic test equipment, important information)
- 2010-09-01 22:27:11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
