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.
Name 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.
Resampling 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.
Order of the filters applied before interpolation and decimation.
Tolerance 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.
Name of the resampled data variable. datar class matches the data class, as specified.
Rational 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.