correlated interference related to gaussian autoregressiv
3 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
MUDASSAR RAZA
el 11 de En. de 2023
Respondida: Mathieu NOE
el 11 de En. de 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 comentarios
Respuesta aceptada
Mathieu NOE
el 11 de En. de 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 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Communications Toolbox en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!