Im dealing with with identifying model dynamics for human movement mistakes from each attemp(trial) to the next, so my time-series data is discrete in nature unlike most sampled-data, also depending on the variable an input of such nature might exist(Sys ID) or not(time-series estimation). I come from a control engineering background and Im well aware of importance of sampling time selection for analysis, system Identification and controls design for sampled-data systems. Im confused about what should I select as sampling-period in either MATLAB or Python when dealing with discrete-time system or signal for which sampling time is not defined. Id appreciate if someone could point to a paper/book that discusses non-sampled discrete time system identification or time-series estimation.
In MATLAB system identification toolbox I can enter 1 as sampling period however MATLAB then will assume that it is a 1 sec sampling period rather than the fact that the signal is a non-sampled discrete time.
