produces
"Choose your poison" as far as what interpolant you actually want.
If you have Signal Processing TB, there's also resample you could play with.
interpolate data in timeseries
Hi all, I have a timeseries vector lets say with 7 points : v=[0.18 3.15 0.18 0.16 0.17 0.58 0.33 ]; I would like to create a new vector by interpolating data so I have extra 3 points among two values: somethng like: v_new=[0.18 ... ... ... 3.15 ... ... 0.18... and so on ] could you help me with that?
Prashant Kumar answered .
2025-11-20
v=[0.18 3.15 0.18 0.16 0.17 0.58 0.33 ]; % example data % the engine nI=3; % number points to insert N=numel(v); % initial vector size NN=(N-1)*nI+N; % new N for augmented v xv=linspace(1,N,NN); % uniform spacing along 1:N NN points vv=interp1(1:N,v,xv); % linear interpolation vvv=interp1(1:N,v,xv,'pchip'); % or pchip interpolation
Illustrate results...
plot(v,'o-')
hold on
plot(xv,vv,'x')
plot(xv,vvv,'d-')
legend('Original','Linear','PChip')