代码搜索：corresponding
找到约 4,250 项符合「corresponding」的源代码
代码结果 4,250
www.eeworm.com/read/257010/11960197
m stm.m
function stm=stm(A);
L = eig(A);
n=length(A);
I=eye(n);
o=ones(n);
H=zeros(n,n);
for i=1:n-1
G(:,i)=L.^i;
end
H=[o(:,1),G];
for i=1:n-1,
if L(i)==L(i+1),
for j=1:n,
H(i+1,j)
www.eeworm.com/read/154209/11983108
m icceps.m
function x = icceps(xhat,nd)
%ICCEPS Inverse complex cepstrum.
% ICCEPS(xhat,nd) returns the inverse complex cepstrum of the
% (assumed real) sequence xhat, removing nd samples of delay.
%
www.eeworm.com/read/343020/11983313
m getwatercolumn.m
function WaterLayer = GetWaterColumn(EnvObj)
%Returns the layer corresponding to the water column.
%This is the first layer in the array
if isempty(EnvObj.LayerArr)
WaterLayer = [];
else
W
www.eeworm.com/read/342845/11996064
m cplxcomp.m
function I = cplxcomp(p1,p2)
% I = cplxcomp(p1,p2)
% Compares two complex pairs which contain the same scalar elements
% but (possibly) at differrent indices. This routine should be
% used aft
www.eeworm.com/read/153969/11997437
m netunpak.m
function net = netunpak(net, w)
%NETUNPAK Separates weights vector into weight and bias matrices.
%
% Description
% NET = NETUNPAK(NET, W) takes an net network data structure NET and a
% weight vect
www.eeworm.com/read/255944/12044269
m distance.m
function d = distance(inputcities)
% DISTANCE
% d = DISTANCE(inputcities) calculates the distance between n cities as
% required in a Traveling Salesman Problem. The input argument has two rows
%
www.eeworm.com/read/153044/12064164
m help_io.m
function help_io(self)
% Coastline data consist of counter-clockwise closed contours,
% separated by NaNs. The geographic positions must be stored in a
% Matlab mat-file, using the variable names
www.eeworm.com/read/254304/12147908
rpt delay.sim.rpt
Simulator report for delay
Fri Oct 12 13:46:16 2007
Version 6.0 Build 178 04/27/2006 SJ Full Version
---------------------
; Table of Contents ;
---------------------
1. Legal Notice
2.
www.eeworm.com/read/254304/12148033
qmsg delay.sim.qmsg
{ "Info" "IQEXE_SEPARATOR" "" "Info: *******************************************************************" { } { } 3 0 "*******************************************************************" 0 0}
{ "I
www.eeworm.com/read/253950/12173352
m netinit.m
function net = netinit(net, prior)
%NETINIT Initialise the weights in a network.
%
% Description
%
% NET = NETINIT(NET, PRIOR) takes a network data structure NET and sets
% the weights and biases by s