代码搜索：INTERVAL
找到约 8,094 项符合「INTERVAL」的源代码
代码结果 8,094
www.eeworm.com/read/200994/15418704
m ofdm_signal.m
% Faculty of Engineering, University of Fukui. 2003/11/11 coded by Sokthai
% Chan (sokthai@msn.com) OFDM signal and its spectrum ( Guard Interval
% insertion )
clear all;
Fd=1; % s
www.eeworm.com/read/112429/15485822
c t1_ledio.c
/*
** t1_ledio.c
** Displays a list of patterns with reasonable
** interval. Don't make it too quick or else
** you will only see them being 'n' all the
** time.
*/
#inclu
www.eeworm.com/read/106654/15631420
txt mt19937-1.c.txt
/* A C-program for MT19937: Real number version (1998/4/6) */
/* genrand() generates one pseudorandom real number (double) */
/* which is uniformly distributed on [0,1]-interval, for each */
/*
www.eeworm.com/read/101557/15826597
m ip_01_07.m
% MATLAB script for Illustrative Problem 7, Chapter 1.
echo on
df=0.01; % Freq. resolution
fs=5; % Sampling frequency
ts=1/fs; % Sampling interval
t=[-5:ts:5
www.eeworm.com/read/383750/2614469
m jiaozhiceshi.m
%交织编码和反织编码的加突发噪声后的测试
echo off
clear all
close all
%突发间隔
N_Interval=80;
%突发长度
N_Length=10;
C=round(rand(1,456*3));%产生一个随机码字序列
CC=C;
u=INTER_WEAVE_8(C);%进行交织编码
Noise=BurstNoise(N_Interval,N_L
www.eeworm.com/read/433114/8544678
m l_sonic2time.m
function wlog=l_sonic2time(wlog,varargin)
% Compute two-way time by integrating sonic log and adding it to the input log structure.
% By default, the function assumes that interval transit time and/or
www.eeworm.com/read/433114/8545102
m l_depth2time.m
function wlog=l_depth2time(wlog,varargin)
% Compute two-way time by integrating sonic log and adding it to the input log structure.
% By default, the function assumes that interval transit time and/or
www.eeworm.com/read/188324/8549586
m fnplt.m
function [points,t] = fnplt(f,varargin)
%FNPLT Plot a function.
%
% FNPLT(F) plots the function in F on its basic interval.
%
% FNPLT(F,SYMBOL,INTERV,LINEWIDTH,JUMPS) plots the function F
%
www.eeworm.com/read/431675/8662165
m tree_map.m
%TREE_MAP Map a dataset by binary decision tree
%
% F = tree_map(A,W)
%
% Maps the dataset A by the binary decision tree classfier W on the
% [0,1] interval for each of the classes W is trained on
www.eeworm.com/read/431628/8664552
m ip_07_01.m
% MATLAB script for Illustrated Problem 7.1.
echo on
T=1;
delta_T=T/200; % sampling interval
alpha=0.5; % rolloff factor
fc=40/T; % carrier frequency
A_m=1;