代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
代码结果 3,616
www.eeworm.com/read/128193/14311445
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a Gaussian radial basis kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input p
www.eeworm.com/read/128193/14311514
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a linear kernel, for example
%
% K = evaluate(ker, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, where ea
www.eeworm.com/read/225935/14510312
m cornerfinder.m
function [xc,good,bad,type] = cornerfinder(xt,I,wintx,winty,wx2,wy2);
%[xc] = cornerfinder(xt,I);
%
%Finds the sub-pixel corners on the image I with initial guess xt
%xt and xc are 2xN matrices.
www.eeworm.com/read/222301/14697768
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a Gaussian radial basis kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input p
www.eeworm.com/read/222301/14697834
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a linear kernel, for example
%
% K = evaluate(ker, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, where ea
www.eeworm.com/read/217040/14981544
dat matrx3.dat
FILE OF MATRICES FOR SVDCMP:
Number of Rows, Columns
5 3
Matrix
1.0 2.0 3.0
2.0 3.0 4.0
3.0 4.0 5.0
4.0 5.0 6.0
5.0 6.0 7.0
NEXT PROBLEM:
Number of Rows, Columns
5 5
Matrix
1.0 2.0 3.0 4.
www.eeworm.com/read/208657/15239733
m ff2vm.m
function [fr,sp,dfr,dsp]=ff2vm(ff)
% [fr,sp,dfr,dsp]=ff2vm(ff) converts ff in the frequency function format
% (ident tbx) into four varying matrices (mutools tbx) fr,sp,dfr,dsp
% containing fre
www.eeworm.com/read/208657/15239764
m vm2ff.m
function ff=vm2ff(fr,sp,dfr,dsp)
% ff=vm2ff(fr,sp,dfr,dsp) converts four varying matrices (mutools tbx)
% fr,sp,dfr,dsp containing frequency response, output noise power
% spectral density, and
www.eeworm.com/read/13911/286901
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a Gaussian radial basis kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input p
www.eeworm.com/read/13911/286949
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a linear kernel, for example
%
% K = evaluate(ker, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, where ea