How can I implement these for loops efficiently using covolution?
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
MAWE
am 1 Aug. 2023
Bearbeitet: Bruno Luong
am 25 Aug. 2023
I have this code
for xx=1:length(x)
for kk=1:length(x)
xSinc(xx) = xSinc(xx)+x(kk)*sinc(xx-kk-delta/T);
end
end
How can implement this efficiently using convultion in MATLAB?
1 Kommentar
Torsten
am 1 Aug. 2023
If you don't know how to spell the method, you'd better stick to your loop solution.
Akzeptierte Antwort
Dyuman Joshi
am 1 Aug. 2023
Bearbeitet: Dyuman Joshi
am 1 Aug. 2023
Simple multiplication would be good enough -
xx = 1:length(x);
kk = 1:length(x);
xSinc(xx) = xSinc(xx) + x(kk)*sinc(xx-kk'-delta/T);
5 Kommentare
Dyuman Joshi
am 22 Aug. 2023
Please attach your code, so that I can reproduce the error and suggest solutions to tackle the issue.
Weitere Antworten (1)
Bruno Luong
am 23 Aug. 2023
Bearbeitet: Bruno Luong
am 25 Aug. 2023
Use conv
x = (0:0.2:5).^2;
L = 3;
delta = rand; T = rand;
% Your method
xSinc = zeros(size(x));
for xx = 1:length(x)
for kk=max(xx-L,1):min(xx+L,length(x))
xSinc(xx) = xSinc(xx)+x(kk)*sinc(xx-kk-delta/T);
end
end
xSinc
% conv method
xSinc2 = conv(x, sinc((L:-1:-L)+delta/T), 'same')
norm(xSinc2-xSinc)
plot(xSinc, 'b')
hold on;
plot(xSinc2, 'r.')
3 Kommentare
Bruno Luong
am 23 Aug. 2023
Bearbeitet: Bruno Luong
am 25 Aug. 2023
Have you tried to do some study of the code or you just ask without study conv?
Siehe auch
Kategorien
Mehr zu Spectral Measurements finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!