Resample time-domain data by decimation or interpolation
datar = idresamp(data,R)
datar = idresamp(data,R,order,tol)
[datar,res_fact] = idresamp(data,R,order,tol)
datar = idresamp(data,R) resamples data
on a new sample interval R and stores the resampled
data as datar.
datar = idresamp(data,R,order,tol) filters
the data by applying a filter of specified order before
interpolation and decimation. Replaces R by a rational
approximation that is accurate to a tolerance tol.
[datar,res_fact] = idresamp(data,R,order,tol) returns res_fact,
which corresponds to the value of R approximated
by a rational expression.
dataName of time-domain iddata object or a matrix
of data. Can be input-output or time-series data.
Data must be sampled at equal time intervals.
RResampling factor, such that R>1 results
in decimation and R<1 results in interpolation.
Any positive number you specify is replaced by the rational
approximation, Q/P.
orderOrder of the filters applied before interpolation and decimation.
Default: 8
tolTolerance of the rational approximation for the resampling factor R.
Smaller tolerance might result in larger P and Q values,
which produces more accurate answers at the expense of slower computation.
Default: 0.1
datarName of the resampled data variable. datar class
matches the data class, as specified.
res_factRational approximation for the specified resampling factor R and
tolerance tol.
Any positive number you specify is replaced by the rational
approximation, Q/P, where the data is interpolated
by a factor P and then decimated by a factor Q.