How to combine 4 different vectors with time durations into one smooth time vector?

I have four different 1x1440 vectors with time durations. I need to combine them in order to make one smooth time vector so I can plot data. For example:

ta= [0.05 0.09 0.18 0.45]

tb= [0.005 0.0001 0.10 0.02]

tc= [0.54 0.23 0.12 0.65]

td= [0.001 0.002 0.003 0.004]

I would like the time vector to be something like:

time = [ta(1), ta(1)+tb(1), ta(1)+tb(1)+tc(1)....ta(1)+tb(1)+tc(1)+td(1)+ta(2)....]

Or any other advice because each time block has a value. ta(1) and tb(1) have corresponding values, so from time 0_ta I will plot Value_ta(1), then from ta_tb I will plot Value_tb(1) and so on. If there is a better to approach this please let me know. Everything is a 1x1440 double.

Thanks!

Answer 1

[Image Analyst]

Do you have the x (t) values, or just the y signal values as a function of index?

Do you mean this:

ta= [0.05 0.09 0.18 0.45];
tb= [0.005 0.0001 0.10 0.02];
tc= [0.54 0.23 0.12 0.65];
td= [0.001 0.002 0.003 0.004];
% Stack together into a matrix.
m = [ta;tb;tc;td]

m = 4×4

0.0500 0.0900 0.1800 0.4500 0.0050 0.0001 0.1000 0.0200 0.5400 0.2300 0.1200 0.6500 0.0010 0.0020 0.0030 0.0040

% Get the cumulative sum going down rows within each column.
c = cumsum(m, 1)

c = 4×4

0.0500 0.0900 0.1800 0.4500 0.0550 0.0901 0.2800 0.4700 0.5950 0.3201 0.4000 1.1200 0.5960 0.3221 0.4030 1.1240