Hello,
Thanks for reaching out to us.
Theoretically, you can set the sampling interval to at least 1/2 the period of the highest frequency component in the input signal. Which is equivalent to sampling at a frequency at least twice the maximum frequency component in the signal to avoid aliasing. It should full-fill the Nyquist criterion.
First define the bandwidth of operation to determine the fmin and fmax. Then set the sampling frequency fs >= 2 * fmax, to satisfy the Nyquist criterion. This allows to define the sampling interval Ts which is inversely proportional to the sampling frequency. Then you can set the frequency resolution ‘Δf’ in the frequency domain which is related to the total sampling ‘Ttotal’ as Δf = 1/Ttotal. For time domain simulation, your number of samples N should satisfy the condition: N = fs/Δf.
You can set all this up in the MATLAB code and load that in the Matlab Component in OptiSystem. For further understanding on how to set up the matlab code, please refer to the examples at: C:\Users\USERNAME\Documents\OptiSystem 22.0 Samples\Software interworking\MATLAB co-simulation
I hope this helps? For any further queries, feel free to reach out to us at support@optiwave.com
Warm Regards,
Saurabh Bedi.
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