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.

-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.