monte carlo simulation. to run the above simulation input" [y1,y2,y3,y4]= ed(0,1,25,2) " in command window. the "g" in the code above represents the normalisation i.e it represents variance(signal)/variance (noise) as SNR= power(signal)/power(noise) as the variance of the data is the power. so i essentially want to "split" the g up. so substitute g= for SNR= power(signal)/power(noise) signal power back into y1 ect.. i.e y1= randn(n,1000000)*sqrt(var(signal))+y0 this is so that i can add the thank you for any suggestions.

How to get SNR in cognitive radio.docx

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