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example3
分别建立命令文件和函数文件
转换想x，y的值
求一元二次方程的根(The establishment of a command file and function file
Conversion to x, y values
Seeking the root of one dollar a quadratic equation)
- 2010-01-13 14:40:18下载
- 积分：1
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shujufenxi
Matlab经典算法之数据分析，概率统计，回归等程序(Matlab classical algorithm of data analysis, probability and statistics, regression and other procedures)
- 2011-07-09 11:08:45下载
- 积分：1
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u_hough
matlab下采用hough变换求图像中的直线，可以直接运行(under matlab using hough transform for image line can be run directly)
- 2013-05-24 15:36:49下载
- 积分：1
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Nonlinear-Schrodinger-equation
这是非线性薛定谔方程的源代码m文件，可以帮助研究(This is the source code of Nonlinear Schrodinger equation)
- 2015-07-17 10:53:45下载
- 积分：1
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matlab_image_function
图像处理函数大全，包括图像增强、滤波、小波变换以及类型转换等。(Image processing function Daquan, including image enhancement, filtering, wavelet transform and type conversion.)
- 2013-03-04 15:09:22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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Face-Detect-Software
Face recognitiion and detection system in matlab
- 2013-09-11 01:13:57下载
- 积分：1
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mmbox
说明： matlab绘图代码：取得一个Rubberband Box的位置向量(mapping matlab code: get a Rubberband Box location vector)
- 2008-11-30 12:41:37下载
- 积分：1
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test
about the cooperative communication
- 2011-08-29 22:48:41下载
- 积分：1
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transmission_lines
Transmission line control example created in MATLAB Simulink enviroment , This model illustrate the exact modelling of transmission lines in real scenarios.
- 2015-02-27 18:56:09下载
- 积分：1
