Hi
Suppose there are two continuous signals of same frequency say 4 KHz. The time corresponding to its one cycle is around 250 us. If we delay one signal by 4010 us (i.e >> one cycle delay), can we use cross correlation techniques to estimate this delay accurately?
Thanks
Hi all
I am generating two signals of same frequency, i introduce a fixed delay in one of the signal and then try to find out the simulated delay using MATLAB 'gccphat' and 'finddelay' functions, but not able to measure correct delay. MATLAB Code script is given below:
clc
clear
close...
I'd guess this kind of circuit is widely used. Is there an IC available that has this functionality?
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The wanted behavior is:
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But they all only show light that enters the telescope along the axis...
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for...
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I suppose they should be equal.
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Or both?
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Homework Statement
I have to simplify this beam form (equation 1) which simplifies to equation 2 and then finally to equation 3.
Homework Equations
equation 1: e^-ix((1-e^y)/(1-e^z)) where x = Beta*M_(1/2), y = beta*M, z= Beta
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equation 3...
Former 'Mars czar' in a Phys.org interview:
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Some new papers appeared about processes in the collision of the two neutron stars, measured in August 2017.
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Hey! :o
A public transport company claims that its buses are at least $95\%$ on time. (A bus is still on time here, if he has at most $3$ minutes delay compared to the timetable.) A sample size of $n = 1000$ at various stops results in $66$ delays. The probability that a randomly selected bus...
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Homework Statement
Hello. I have a problem, which is as follows:
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Hello,
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Perhaps the title of this post is not quite correct because I could not find a way to abbreviate what I am asking.
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I have 2 PERFECT data of the transmitter and receiver. From 2 data, I can calculate the delay estimation:
Fs = 8e6; % sample rate
...
for i = 1:2
[cc_correlation,lag] = xcorr(signal2(i), signal1);
[cc_maximum, cc_time] = max(abs(cc_correlation));
cc_estimation...
hi everyone.
i'm only 16 so please beer that in mind.
I've been doing some reading around and have come across the idea that light slows down in an dense medium as a result of the photons moving tough other particles with a slight delay however they retain all factors about them selves apron...
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I have 2 data files, which links are attached below:
Transmitted data
https://www.dropbox.com/s/0nmhw6mpgh7upmv/TX.dat?dl=0
Received data
https://www.dropbox.com/s/xgyo6le3bcmd25r/RX.dat?dl=0
Those binary data are read by this MATLAB code:
%% initial values:
nsamps = inf;
nstart = 0;
%% input...
I really need help to understand these questions which is highlight, for the GPS situation, I hope anyone who has been working in this situation before, please help me to have a clear understanding about "time delay estimation":
Here is the scenario:
1. Suppose I know precisely I have transmit...
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Starting from a gaussian waveform propagating in a dispersive medium, is it possible to obtain an expression for the waveform at a generic time t, when the dispersion is not negligible?
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