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/257069/11952794
sc scenario16-1.sc
stk.v.5.0
BEGIN Scenario
Name Scenario16-1
BEGIN Epoch
Epoch 20 Sep 2002 15:00:00.00
END Epoch
BEGIN Interval
Start 20 Sep 2002 15:00:00.000000000
Stop
www.eeworm.com/read/257067/11952994
sc scenario15-1.sc
stk.v.5.0
BEGIN Scenario
Name Scenario15-1
BEGIN Epoch
Epoch 1 Jun 2003 12:00:00.00
END Epoch
BEGIN Interval
Start 1 Jun 2003 12:00:00.000000000
Stop
www.eeworm.com/read/257066/11953804
sc scenario14-1.sc
stk.v.5.0
BEGIN Scenario
Name Scenario14-1
BEGIN Epoch
Epoch 1 Jun 2001 18:00:00.00
END Epoch
BEGIN Interval
Start 1 Jun 2001 18:00:00.000000000
Stop
www.eeworm.com/read/257065/11953935
sc scenario13-1.sc
stk.v.5.0
BEGIN Scenario
Name Scenario13-1
BEGIN Epoch
Epoch 1 Jun 2002 12:00:00.00
END Epoch
BEGIN Interval
Start 1 Jun 2002 12:00:00.000000000
Stop
www.eeworm.com/read/257064/11954071
sc scenario12-1.sc
stk.v.5.0
BEGIN Scenario
Name Scenario12-1
BEGIN Epoch
Epoch 1 Jul 2003 12:00:00.00
END Epoch
BEGIN Interval
Start 1 Jul 2003 12:00:00.000000000
Stop
www.eeworm.com/read/257063/11954180
sc scenario11-1.sc
stk.v.5.0
BEGIN Scenario
Name Scenario11-1
BEGIN Epoch
Epoch 1 Jun 2003 12:00:00.00
END Epoch
BEGIN Interval
Start 1 Jun 2003 12:00:00.000000000
Stop
www.eeworm.com/read/342008/12046878
m knn_map.m
%KNN_MAP Map a dataset on a K-NN based classifier
%
% F = knn_map(A,W)
%
% Maps the dataset A by the K-NN classfier W on the [0,1] interval
% for each of the classes W is trained on. The posterior
www.eeworm.com/read/253924/12177301
m ofdm.m
clear all;
A = [1 1/exp(1) 1/exp(2)]; % power delay profile
N = 64; % number of symbols in a single OFDM symbol
GI = 16; % guard interval
Mt = 1; % number of Tx antennas
Mr = 1; % number of Rx a
www.eeworm.com/read/148560/12459229
ssf a8237.ssf
SIMULATOR_SETTINGS
{
FOCUS_ENTITY_NAME = |a8237;
ESTIMATE_POWER_CONSUMPTION = OFF;
GLITCH_INTERVAL = 1ns;
GLITCH_DETECTION = OFF;
SIMULATION_COVERAGE = ON;
CHECK_OUTPUTS = OFF;
RECOVERY
www.eeworm.com/read/233013/14173768
m fk.m
function [S,f,k] = fk(d,dt,dx,L);
%FK: compute FK spectrum of a seismic gather.
%
% [S,f,k] = fk(d,dt,dx,L);
%
% IN d: data (traces in columns)
% dt: time interval
% dx: