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SSC
Library to use SCC HCC pressure sensors from Honeywell
- 2014-02-06 01:07:11下载
- 积分：1
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fen_kuai_Wavelet_OMP
压缩传感，MATLAB，图像重建，正交匹配追踪，打破乃奎斯特定理，图像分块处理(Compressed sensing, MATLAB, image reconstruction, orthogonal matching pursuit, breaking the Nyquist theorem, the image block processing)
- 2010-11-05 22:14:35下载
- 积分：1
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tanker
一艘油轮的仿真程序，可以通过此程序很好的仿真油轮船舶的动态特性，实时仿真曲线。(tank simulation)
- 2011-12-08 16:19:53下载
- 积分：1
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quanqiaoyx
全桥移相的电路仿真及电路搭建，大家可以相互学习下。(Phase-shifted full-bridge circuit simulation and circuit structures, we can learn from each other the next.)
- 2011-12-27 14:20:29下载
- 积分：1
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gpc
说明： 多模型广义预测控制在循环流化床锅炉床温中的应用(MGPC CFB bed temperature)
- 2020-11-19 21:49:39下载
- 积分：1
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lms_perfect
用LMS算法迭代求最佳权值，程序简单效率高(Iterative optimal weights using the LMS algorithm)
- 2012-06-24 21:29:29下载
- 积分：1
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LABA4
Aided design of digital systems patronized semiconductor converter in the package ORCAD
- 2013-02-21 04:41:59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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denoising
噪声环境下的予以增强程序，用小波函数 db6 对信号进行3层分解(Noise environment to be enhanced procedures DB6 wavelet function with the signal 3-layer decomposition)
- 2008-06-30 17:58:08下载
- 积分：1
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dtcsystem
说明： 异步电机直接转矩控制系统框图，在matlab/simulink环境下实现了整个系统的仿真运行，学习直接转矩控制的必备资料。(Induction Motor Direct Torque Control system block diagram, in matlab/simulink environment to achieve the whole system simulation run, the direct torque control of essential learning materials.)
- 2010-04-05 09:47:37下载
- 积分：1
