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Design of bank calling system
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Application background Reg52.h> #include<#define uchar unsigned char / / macro definition#define uint unsigned int / / macro definitionRs=P2^0 sbit;E=P2^1 sbit;Sbit key1=P2^2; / / four key service personnelKey2 sbit
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ICA algorithm based on Hill Porter independence cr
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Application background |--------------------| FAST; KERNEL; ICA; |--------------------|Version 1 - February 2007License see, below MPLPackage contains a Matlab implementation of the Fast Kernel ICA This;As described in [1]. algorithm;ICA is based on minimizing a kernel measure of statistical KernelIndependence, the Hilbert-Schmidt norm of the covariance namelyIn feature space operator ([3] this: is called HSIC ). See; an Given (nM matrix) W of n samples from m mixed sources the, goal is to find a xMatrix X such that the dependence between the estimated demixingSources X'*W is minimal. FastKICA; uses an approximate Newton unmixedTo perfom this optimization. For; more information on the methodAlgorithm, [1] and, for more information on HSIC refer, to [3]. readFunctions'chol_gauss'and'amariD' are taken from and based on The,Respectively, from Francis Bach code (at avai
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