📄 my_interp.m
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function [x_v,xx,yy]=my_interp(y_v,x_vect,y_vect,interp_method)
% y_v= 0.1 , 0.01 etc. BLER value
% x_v = Ior/Ioc value (dB) which we wanted
% y_vect= BLER data come from the simulatin result
% x_vect=SNR (Ior/Ioc) value which we set during the simulation
% interp_method: interpolation method which you want to use
% 0-> 'linear' - linear interpolation
% 1-> 'nearest' - nearest neighbor interpolation
% 2-> 'spline' - piecewise cubic spline interpolation (SPLINE)
% 3-> 'pchip' - piecewise cubic Hermite interpolation (PCHIP)
% 4-> 'cubic' - same as 'pchip'
% 5-> 'v5cubic' - the cubic interpolation from MATLAB 5, which does not
% extrapolate and uses 'spline' if X is not equally spaced.
%
% liudong , 2002/10/18
%
switch interp_method
case 0
m_str=['linear'];
case 1
m_str=['nearest'];
case 2
m_str=['spline'];
case 3
m_str=['pchip'];
case 4
m_str=['cubic'];
case 5
m_str=['v5cubic'];
end
x1_vect=sort(x_vect);
y1_vect=sort(y_vect);
xx=[min(x1_vect):0.1:max(x1_vect)*2];
y1=interp1(x1_vect,y1_vect,xx,m_str);
yy=y1(length(y1):-1:1);
[p1,p2]=min(abs(abs(yy)-y_v));
if abs(yy(p2))>y_v & abs(yy(p2+1))>y_v
x_v= (xx(p2)+xx(p2+1))/2;
else
x_v=xx(p2);
end
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