代码搜索：sprintf
找到约 7,065 项符合「sprintf」的源代码
代码结果 7,065
www.eeworm.com/read/258195/11877304
c js520a.c
/********************************************************
FACILITY 3200 样例程序[v1.000]
深圳市康卓电子技术有限公司
*********************************************************/
#include "F3200.h" // F3200库函数头文件
www.eeworm.com/read/343924/11919741
cpp tftpserver.cpp
/**************************************************************************
* Copyright (C) 2005 by Achal Dhir *
* achaldhir@gmail.com
www.eeworm.com/read/154843/11923782
m sprintsi.m
function s=sprintsi(x,d,w)
%SPRINTSI Print X with SI multiplier S=(X,D,W)
% D is number of decimal places (+ve) or significant digits (-ve) [default=-3]
% |W| is total width including multiplier
%
www.eeworm.com/read/257078/11950928
m e0242.m
x=5317;y=int2str(x)
p=num2str(pi,7)
a=[1 2 3;4 5 6] ;
b=mat2str(a)
str=sprintf('The value of pi=%8.6f.',pi)
www.eeworm.com/read/343046/11981702
m dipole_example.m
% Description:
% ------------
% A simple example to demonstrate the HFSS-MATLAB-API. This script optimizes
% a dipole antenna design to resonate at a specified frequency. The initial
% length of the
www.eeworm.com/read/154209/11983172
m psd.m
function [Pxx, Pxxc, f] = psd(varargin)
%PSD Power Spectral Density estimate.
% Pxx = PSD(X,NFFT,Fs,WINDOW) estimates the Power Spectral Density of
% signal vector X using Welch's averaged per
www.eeworm.com/read/154209/11983876
m dpssload.m
function [E,V] = dpssload(N,NW)
%DPSSLOAD Load discrete prolate spheroidal sequences from database.
% [E,V] = DPSSLOAD(N,NW) are the DPSSs E and their concentrations V, with
% length N and t
www.eeworm.com/read/153823/12004363
m sdpi.m
function [TCout,aout] = sdpi(W,D,a0,C,XY)
%SDPI Steepest Descent Pairwise Interchange Heuristic for QAP.
% [TC,a] = sdpi(W,D,a0,C,XY)
% m = number of machines and sites
% W = m x m machi
www.eeworm.com/read/255755/12057232
m plotgtm.m
%PLOTGTM Plot a trained GTM mapping in 1D, 2D or 3D
%
% H = PLOTGTM (W)
%
% INPUT
% W Trained GTM mapping
%
% OUTPUT
% H Graphics handles
%
% DESCRIPTION
% Creates a plot of the
www.eeworm.com/read/255755/12057314
m gtm.m
%GTM Fit a Generative Topographic Mapping using the
% expectation-maximisation algorithm.
%
% [W,L] = GTM (A,K,M,MAPTYPE,REG,EPS,MAXITER)
%
% INPUT
% A Dataset or double matrix
% K