代码搜索:Computing

找到约 6,514 项符合「Computing」的源代码

代码结果 6,514
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m reg_ga.m

% PLSC % Computation of Regression Parameters % sintax: % [wmat,umat,pmat,cmat,dvet,pnorm]=reg_ga(x,y,A);; function[wmat,umat,pmat,cmat,dvet,pnorm]=reg_ga(x,y,A); [rx,cx]=size(x); [ry,cy]=s
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m contents.m

% Soft Computing Toolbox % Version 1.0, July 18, 1996 (For MATLAB 4.2) % Version 2.0, Feb. 10, 1999 (For MATLAB 5.2) % Copyright (c) 1996 by J.-S. R. Jang, C.-T. Sun, and E. Mizutani % % For use with
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m convfft.m

%利用FFT计算两个有限长序列的线性卷积 %并用传统计算法计算卷积,比较两种方法的速度 L=5000; N=L*2-1; n=0:(L-1); x1=0.5*n; x2=2*n; %Compute convotion x1 * x2 using function CONV in traditional way t0=clock; yc=conv(x1,x2); tc=etime
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m isposdef.m

function b = isposdef(a) % ISPOSDEF Test for positive definite matrix. % ISPOSDEF(A) returns 1 if A is positive definite, 0 otherwise. % Using chol is much more efficient than computing eig
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m isposdef.m

function b = isposdef(a) % ISPOSDEF Test for positive definite matrix. % ISPOSDEF(A) returns 1 if A is positive definite, 0 otherwise. % Using chol is much more efficient than computing eig
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m user_alg5.m

function W = user_alg5( X ); % ICALAB user can replace this function by own algotrithm computing demixing matrix W % % This is only dummy function % % input: % x - signals vector, each sign
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m user_alg7.m

function W = user_alg7( X ); % ICALAB user can replace this function by own algotrithm computing demixing matrix W % % This is only dummy function % % input: % x - signals vector, each sign
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m user_alg8.m

function W = user_alg7( X ); % ICALAB user can replace this function by own algotrithm computing demixing matrix W % % This is only dummy function % % input: % x - signals vector, each sign
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m user_alg6.m

function W = user_alg6( X ); % ICALAB user can replace this function by own algotrithm computing demixing matrix W % % This is only dummy function % % input: % x - signals vector, each sign
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m user_alg9.m

function W = user_alg9( X ); % ICALAB user can replace this function by own algotrithm computing demixing matrix W % % This is only dummy function % % input: % x - signals vector, each sign