代码搜索：Sampling
找到约 3,969 项符合「Sampling」的源代码
代码结果 3,969
www.eeworm.com/read/138860/13207176
m pup.m
function y = pup(x, type, phase)
% PUP Parallelogram Upsampling
%
% y = pup(x, type, [phase])
%
% Input:
% x: input image
% type: one of {1, 2, 3, 4} for selecting sampling matrices:
% P1
www.eeworm.com/read/238965/13312673
m fig3_8.m
% Use this program to reproduce Fig. 3.8 of text
close all
clear all
eps = 0.000001;
%Enter pulse width and bandwidth
B = 200.0e6; %200 MHZ bandwidth
T = 10.e-6; %10 micro second pulse;
% Compu
www.eeworm.com/read/322692/13371244
c fet140_adc12_03.c
//******************************************************************************
// MSP-FET430P140 Demo - ADC12, Extend Sampling Period With SHT bits
//
// This example shows how to extend the sa
www.eeworm.com/read/321424/13405161
m fig3_8.m
% Use this program to reproduce Fig. 3.8 of text
close all
clear all
eps = 0.000001;
%Enter pulse width and bandwidth
B = 200.0e6; %200 MHZ bandwidth
T = 10.e-6; %10 micro second pulse;
% Compu
www.eeworm.com/read/321385/13407831
m fig3_8.m
% Use this program to reproduce Fig. 3.8 of text
close all
clear all
eps = 0.000001;
%Enter pulse width and bandwidth
B = 200.0e6; %200 MHZ bandwidth
T = 10.e-6; %10 micro second pulse;
% Compu
www.eeworm.com/read/321160/13411616
m test.m
t0=.15; % signal duration
ts=0.001; % sampling interval
% the message vector
m=[ones(1,t0/(3*ts)),-2*ones(1,t0/(3*ts)),zeros(1,t0/(3*ts)+1)];
m_hat=imag(hilbert
www.eeworm.com/read/321050/13412883
m loweq.m
function xl=loweq(x,ts,f0)
% xl=loweq(x,ts,f0)
%LOWEQ returns the lowpass equivalent of the signal x
% f0 is the center frequency.
% ts is the sampling interval.
%
t=[
www.eeworm.com/read/321050/13412947
m test.m
t0=.15; % signal duration
ts=0.001; % sampling interval
% the message vector
m=[ones(1,t0/(3*ts)),-2*ones(1,t0/(3*ts)),zeros(1,t0/(3*ts)+1)];
m_hat=imag(hil
www.eeworm.com/read/318840/13471255
m demo2_01.m
%
% Demonstrates performance of a fixed-gain estimator as a function of gain
%
% Applied to random walk process with gaussian sampling noise
%
clear all;
close all;
N = 1000; % Number of sa
www.eeworm.com/read/314385/13568713
m demo2_01.m
%
% Demonstrates performance of a fixed-gain estimator as a function of gain
%
% Applied to random walk process with gaussian sampling noise
%
clear all;
close all;
N = 1000; % Number of sa