Before you can perform this task, you must have time-domain data as an
iddata object. See Representing Time- and Frequency-Domain Data Using iddata Objects.
Note
If you plan to estimate models from this data, your data must be regularly sampled.
Use the detrend command to remove the signal means or linear
trends:
[data_d,T]=detrend(data,Type)
where data is the data to be detrended. The second input argument
Type=0 removes signal means or Type=1 removes linear
trends. data_d is the detrended data. T is a
TrendInfo object that stores the values of the subtracted offsets and
slopes of the removed trends.
Before you can perform this task, you must have
Time-domain data as an iddata object. See Representing Time- and Frequency-Domain Data Using iddata Objects.
Note
If you plan to estimate models from this data, your data must be regularly sampled.
Values of the offsets you want to remove from the input and output data. If you do not know these values, visually inspect a time plot of your data. For more information, see How to Plot Data at the Command Line.
Create a default object for storing input-output offsets that you want to remove from the data.
T = getTrend(data)
where T is a TrendInfo object.
Assign offset values to T.
T.InputOffset=I_value; T.OutputOffset=O_value;
where I_value is the input offset value, and
O_value is the input offset value.
Remove the specified offsets from data.
data_d = detrend(data,T)
where the second input argument T stores the offset values as its
properties.