GPIB_power_CF - Régression polynomiale du Cal Factor.
CalFactor=[ 0.05 , 95 ;
2 , 95.5;
3 , 94.8;
4 , 94.2;
5 , 94.5;
6 , 94.8;
7 , 94.8;
8 , 94.8;
9 , 94.2;
10 , 94;
11 , 94;
12 , 93.5;
13 , 94;
14 , 92.8;
15 , 92;
16 , 92.8;
17 , 94.4;
18 , 99.4];
CalFactor(:,1)=CalFactor(:,1)*10^9;
f=(linspace(1,18,201).')*10^9;
plot2d(CalFactor(:,1),CalFactor(:,2));
plot2d(f,GPIB_power_CF(f,CalFactor,1));