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matlabfitellipsecode
说明： 对离散数据运用最小二乘法进行椭圆拟合，运行过了觉得还不错就上传了。(Discrete data on the use of least squares method for ellipse fitting, run over a feel good on the uploaded.)
- 2008-12-05 11:12:05下载
- 积分：1
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PNGen
PN_GEN: This is a matlab function generates the Pseudo Noise sequnece of length (N)according to Generation Polynom and input state.
Inputs: G - Generation Polynom, Zin - Initial state of Shift register N - The length of PN sequence
Outputs: y - The resulting PN sequence
Z - The output state of Shift register
- 2010-11-23 07:07:37下载
- 积分：1
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error_diff
用3中误差扩散滤波器实现误差扩散，分别是floyd stein, sierra, Stenenson滤波器(Error diffusion filter with a 3 to achieve error diffusion, respectively, floyd stein, sierra, Stenenson filter)
- 2010-12-07 09:39:36下载
- 积分：1
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feige
install code to the document,and replease ,make project
- 2007-11-14 10:47:46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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matlab-perspective-projection
说明： 使用matlab仿真三维物点的透视投影成像(perspective projection
)
- 2011-04-03 17:42:30下载
- 积分：1
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2-DOF-Quarter-Car-Model
二自由度四分之一车模型，matlab/simulink(Two degrees of freedom quarter car model, matlab/simulink)
- 2013-06-09 00:32:29下载
- 积分：1
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NLMS-DFE
基于NLMS算法的判决反馈(DFE)均衡(Decision feedback (DFE) equalization based on NLMS algorithm)
- 2020-12-01 14:19:26下载
- 积分：1
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SPLBASE
多元线性回归算法，能将多个线性的物质之间的变量和自变量之间建立相关度高的线性回归方程。(Multiple linear regression algorithm, can the variables and between multiple linear material to set up linear regression equation with high correlation between independent variables.
)
- 2013-10-03 23:50:29下载
- 积分：1
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XieLvDuiShu2
1、利用自相关法找出含有大量数据的周期信号的周期 2、利用互相关对齐含有大量数据的多路采样信号以便分析 3、使用分段平滑经过求导后的含有干扰的图像曲线(1, using the autocorrelation method contains large amounts of data to identify the period of the periodic signal 2, using the cross-correlation contains a large amount of data aligned with the sampling signal for the multiplexed analysis, the use of segmented through derivative after smoothing with interference by the image curve)
- 2013-10-22 16:37:12下载
- 积分：1
