Hi , please what is the difference between randn and awgn , when adding white gaussian noise to get snr = 10dB , also I see difference in result when using snr function .

1 Ansicht (letzte 30 Tage)
P_rms = rms(signal)^2; %
noisy_signal_1 = awgn(signal,10,'measured');
noisy_signal_2 = signal+0.1*P_rms*randn(L_t,1);
snr1=snr(signal,awgn(signal,10,'measured'))
snr2=snr(signal,noisy_signal_2)
var1=var(noisy_signal_1);
var2=var(noisy_signal_2);

Antworten (0)

Kategorien

Mehr zu Propagation and Channel Models 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!

Translated by