getTrend - Data offset and trend information
Syntax
T = getTrend(data)
T = getTrend(data,0)
T = getTrend(data,1)
Description
T = getTrend(data) constructs a TrendInfo object
to store offset, mean, or linear trend information for detrending
or retrending data. You can assign specific offset and slope values
to T.
T = getTrend(data,0) computes the means
of input and output signals and stores them as InputOffset and OutputOffset properties
of T, respectively.
T = getTrend(data,1) computes a best-fit
straight line for both input and output signals and stores them as
properties of T.
Examples
Compute input-output signal means, store them, and detrend the
data:
% Load SISO data containing vectors u2 and y2
load dryer2
% Create data object with sampling time of 0.08 sec
data=iddata(y2,u2,0.08)
% Plot data on a time plot - it has a nonzero mean
plot(data)
% Compute the mean of the data
T = getTrend(data,0)
% Remove the mean from the data
data_d = detrend(data,T)
% Plot detrended data on the same plot
hold on
plot(data_d)
Remove a specific offset from input and output data signals:
% Load SISO data containing vectors u2 and y2
load dryer2
% Create data object with sampling time of 0.08 sec
data=iddata(y2,u2,0.08)
plot(data)
% Create a TrendInfo object for storing offsets and trends
T = getTrend(data)
% Assign offset values to the TrendInfo object
T.InputOffset=5;
T.OutputOffset=5;
% Subtract specific offset from the data
data_d = detrend(data,T)
% Plot detrended data on the same plot
hold on
plot(data_d)
See Also
 | getreg | | idarx |  |
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