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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.
Use the detrend command to remove the signal means or linear trends:
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.
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.
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.