correlated interference related to gaussian autoregressiv
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
MUDASSAR RAZA
am 11 Jan. 2023
Beantwortet: Mathieu NOE
am 11 Jan. 2023
how can i generate the sequence of following equation
phi1=1.98;
phi2=-0.9801;
I(k)=phi1*i(k-1)+phi2*i(k-2)+e(k)
k=2:100
....i(-1),i(-2)......<0 are equal to zero
e(k)=white gaussian noise with variance 0.01
0 Kommentare
Akzeptierte Antwort
Mathieu NOE
am 11 Jan. 2023
hello
weel, you where not very far from the code....
here is it
NB that the for loop start at indice 3 because matlab works with indices starting at 1 and not zero
phi1=1.98;
phi2=-0.9801;
samples = 100;
e = randn(samples,1); % e(k)=white gaussian noise with variance 0.01
v = var(e); % check variance
v_target = 0.01;
amp = sqrt(v_target/v); % compute amplitude factor correction to get target variance
e = e*amp;
v = var(e) % now we have the correct variance
% init I
I(1) = e(1); % ....i(-1),i(-2)......<0 are equal to zero
I(2) = phi1*I(1)+ 0 +e(2);
% main loop
for k=3:samples
I(k) = phi1*I(k-1)+phi2*I(k-2)+e(k);
end
plot(I);
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Communications Toolbox finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!