代码搜索:fprintf
找到约 10,000 项符合「fprintf」的源代码
代码结果 10,000
www.eeworm.com/read/436999/7757277
c sa6104.c
#include
#include
void main()
{
FILE *fp;
char stuff[25];
int index;
fp = fopen("TENLINES.TXT","w"); /* 为写打开文件*/
strcpy(stuff,"This is an example line."
www.eeworm.com/read/436995/7757462
m xcon.m
% xcon.m
% Scope: This MATLAB program displays the constants specified by the
% macros convcon, gpscon, wgs72con, wgs84con, sgs85con, and pz90con.
%
www.eeworm.com/read/436995/7757466
m xhmatall.m
% xhmatall.m
% Scope: This Matlab program tests the construction of the H matrix (based
% on line-of-sight, baro and clock measurements). The following
www.eeworm.com/read/436995/7757469
m xgpstime.m
% xgpstime.m
% Scope: This MATLAB program performs the following GPS time related
% transformation:
% 1) from (year, month, day) to (GPS wee
www.eeworm.com/read/436995/7757487
m xfdnt.m
% xfdnt.m
% Scope: This MATLAB program determines the fault detection normalized
% thresholds used in the Receiver Autonomous Integrity Monitoring
%
www.eeworm.com/read/436995/7757500
m xpbias.m
% xpbias.m
% Scope: This MATLAB program computes the value of the parity bias (pbiasb);
% for the 5 satellites case the Gaussian distribution is used, while
www.eeworm.com/read/436945/7758473
m display.m
function display(f)
%LOGDA/DISPLAY Display LOGDA object.
% Copyright (c) 1999 Michael Kiefte.
% $Log$
beta = f.coefs;
g = size(beta, 1) + 1;
p = size(beta, 2) - 1;
fprintf('\n%s =\n\n', inputna
www.eeworm.com/read/436945/7758476
m disp.m
function disp(f)
%LOGDA/DISP Display LOGDA object.
% Copyright (c) 1999 Michael Kiefte.
% $Log$
fprintf(' coefs: [%dx%d double]\n', size(f.coefs));
disp(f.classifier)
www.eeworm.com/read/436945/7758478
m display.m
function display(f)
%CLASSIFIER/DISPLAY Display CLASSIFIER object.
% Copyright (c) 1999 Michael Kiefte.
% $Log$
p = size(f.range, 2);
g = length(f.counts);
fprintf('\n%s =\n\n', inputname(1));
www.eeworm.com/read/436945/7758480
m disp.m
function c = disp(f)
%CLASSIFIER/DISP Display CLASSIFIER object.
% Copyright (c) 1999 Michael Kiefte.
% $Log$
n = f.counts;
g = length(n);
prior = f.prior;
if isempty(prior)
prior = n./sum(n)