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fastKICA
说明: 盲源分离FastICA、matalab程序,(FAST KERNEL ICA |
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Version 1.0- February 2007
Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton
This package contains a Matlab implementation of the Fast Kernel ICA
algorithm as described in [1].
Kernel ICA is based on minimizing a kernel measure of statistical
independence, namely the Hilbert-Schmidt norm of the covariance
operator in feature space (see [3]: this is called HSIC). Given an (n
x m) matrix W of n samples from m mixed sources, the goal is to find a
demixing matrix X such that the dependence between the estimated
unmixed sources X *W is minimal. FastKICA uses an approximate Newton
method to perfom this optimization. For more information on the
algorithm, read [1], and for more information on HSIC, refer to [3].
The functions chol_gauss and amariD are taken from and based on,
respectively, code from Francis Bach (available at
http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is
com)
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jizuobiao
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fornisten
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bb
说明: Euler midpoint simpson matlab code
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2008_4
试说明卷积编解码的工作原理。
请用Simulink仿真卷积编码,并用Viterbi译码的方法进行解码,其中的编解码全部自己编写代码(S-Function方式),在加性白高斯噪声信道中,画出比特信噪比与误码率的关系曲线。
(Description Convolutional codec test works. Please use Simulink simulation of convolutional coding and Viterbi decoding method used to decode, which codec to prepare all their own code (S-Function mode), in the AWGN channel, drawn-noise ratio and bit error rate curve.)
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K_medoids
聚类算法k-medoids 该代码针对的是图像处理 该算法采用局部航迹与系统航迹进行关联的策略(K-medoids clustering algorithm is the code for the image processing algorithm strategy using a local track trajectories associated with the system)
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One_Dimensional_PML
matlab 完全匹配层 matlab FDTD(photonics matlab FDTD)
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mlp-sample
multi layer perceptron - MLP sample
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DIPmatlab
数字图像处理及matlab实现 于成波著 适合matlab及图像处理爱好者(Digital image processing and matlab for implementation on into the waves with matlab and the image processing enthusiasts)
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