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myCICv1_fir_comp_coeff
利用matla设计的CIC内插滤波器，其中包含了其相应的补偿滤波器。(Matla designed using CIC interpolation filters, which contains the corresponding compensation filter.)
- 2008-12-22 16:58:01下载
- 积分：1
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top82
81 line topology optimization
- 2011-10-27 11:59:59下载
- 积分：1
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matlab
matlab代码 迭代法求解非线性方程
用不动点迭代法求非线性方程组的一个根(matlab code iterative method for solving nonlinear equations using fixed point iteration method for solving nonlinear equations of a root)
- 2013-11-18 13:02:37下载
- 积分：1
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16743
基于MATLAB的小波去噪音的仿真实验~适合初学者~所有代码都有(Simulation experiments based on MATLAB wavelet to noise ~ for beginners ~ all of the code
)
- 2015-03-23 20:11:10下载
- 积分：1
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rtdxlms
说明： 一个MATLAB的应用程序，很方便的！使用时需要转换为M文件。(a MATLAB applications, a convenient! Use need to change for the M documents.)
- 2006-03-16 16:37:09下载
- 积分：1
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Planning
guidelines for planning phase in project management
- 2010-09-06 15:31:31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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MSB-Structure-Key-
说明： 本人的一篇数字图像水印文章，一种基于图像最高有效位构造密钥的零水印算法（核心期刊），共大家参考。(A Kind of Non-watermarking Algorithm Based on MSB Structure Key )
- 2011-03-03 11:19:07下载
- 积分：1
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leachs1vsleachs2
leach算法和leach改进的算法对比默契改进算法为对阈值的改变(leach algorithm and improved algorithm leach algorithm for Bi Moqi threshold for change)
- 2013-08-15 15:06:38下载
- 积分：1
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minimum-spanning-tree-matlab
minimum spanning tree
- 2011-11-26 10:20:06下载
- 积分：1
