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Process
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- 2013-01-01 20:25:49下载
- 积分：1
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MFC
UpdateData、Invalidate、InvalidateRect和UpdateWindow及RedrawWindow的区别(Difference UpdateData, Invalidate, InvalidateRect and UpdateWindow and RedrawWindow of)
- 2015-01-10 09:59:47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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Erentokmatamaterial2007
metamaterial good paper
- 2010-11-11 21:41:46下载
- 积分：1
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frft-apply
分数阶frft函数，以及利用该函数实现的一些简单滤波器及lfm函数检测等功能(Fractional frft function, as well as the use of the function to achieve some simple of filter and lfm function of detection function)
- 2013-04-10 11:35:34下载
- 积分：1
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m-sequence
r=5时（级数为5）,由抽取的方法产生m序列
m序列优选对的产生，并计算了其自相关和互相关函数(m sequence generator (r=5), crosscorrelation and autocorrelation)
- 2012-05-07 09:44:31下载
- 积分：1
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powerflow
一个可运行的潮流计算程序，用牛顿拉弗逊法进行求解。(verry good!)
- 2011-09-10 18:01:38下载
- 积分：1
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Cameron-decomposition
cameron分解matlab源代码，自己编写的，效果还行(cameron decomposition)
- 2014-12-22 22:48:21下载
- 积分：1
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Survey
生成纵横向四阶方程，计算特征根，传递函数等，给出波特图及尼科尔斯图。( SURVEY is set up to make calculations based on the 12 x 12 Fmodel and 12 x 7 Gmodel produced by FLIGHT, with the generic business jet model trimmed for flight at V = 102 m/s and h = 3,050 m. The flags are set to generate a fourth-order, body-axis, lateral-directional model the data set to calculate eigenvalues, eigenvectors, and the transfer function aileron to roll rate and to show the Bode plot, Nyquist plot, and Nichols chart for the transfer function.)
- 2015-10-17 22:45:30下载
- 积分：1
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CAZAC_SYN
说明： 此程序主要实现CAZAC序列的OFDM系统同步，该同步可以实现定时同步和载波频率同步。(The programme realizes CAZAC trainning symbol in OFDM systems)
- 2020-11-10 15:39:46下载
- 积分：1
