thvhauwe

function awgn(X,SNR)
    #Assumes X to be a matrix and SNR a signal-to-noise ratio specified in decibel (dB)
    #Implented by author, inspired by https://www.gaussianwaves.com/2015/06/how-to-generate-awgn-noise-in-matlaboctave-without-using-in-built-awgn-function/
    N=length(X) #Number of elements in X
    signalPower = sum(X[:].^2)/N
    linearSNR = 10^(SNR/10)
    a,b=size(X)
    noiseMat = randn((a,b)).*√(signalPower/linearSNR) #Random gaussian noise, scaled according to the signal power of the entire matrix (!) and specified SNR

    return solution = X + noiseMat

thvhauwe

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