Hi!

Great to see the solution also, other wise most of the time, only problems
where seen & no solution, after long time. Thanks Heart to share the
solution.

Regards,

Sohaib.

**wrote:***Heart To Heart <h...@yahoo.com>*Hello,

Thanks guys for your advice, finally, it is done with just 3 commands below.

Cheers,

HTH

1. polycoefficient = polyfit(EbN0db,log10(ber_itn+10^(-30)),2);

%Find the coefficents of a polynomial of order 2

% to approximate log10(ber) of each iteration

%10^(-30) to make ber_itn non-zero

2. poly_ber = 10.^polyval(polycoefficient,EbN0db);

%Approximate log10(ber) of each iteration using the above coefficents

3. semilogy(EbN0db,poly_ber,'-',EbN0db,ber_itn,'+'); grid on

%plot both actual data and approximated data

hold on;khmaies ouahada <k...@gmail.com> wrote:

Hi there,

SNR values are usually presented in dB. So you scale should be in logarithmetic scale. Here you have to use semilogxy function instead of plot(x,y), check the function with help.

To get smoother curves you suppose that you have two values of SNR:

1- the one with dB values SNR1=1,2,3,.....20,...

2-SNR2^((SNR1)/10)

in your Gaussian noise formula use the values of SNR2 and then you will get smmother curves.

regards

khmaies

To

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If I have 3 letters: H, R, T.

I can add E, A to have HEART,

I can also add U to get HURT.

But:

I'd rather have U and get HURT than having a HEART without U__________________________________________________

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