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Optiwave software can be used in different industries and applications, including Fiber Optic Communication, Sensing, Pharma/Bio, Military & Satcom, Test & Measurement, Fundamental Research, Solar Panels, Components / Devices, etc..
OptiOmega is a collection of products specialized for photonic integrated circuit simulation. It automates the design flow for
generating compact models from device level simulations. The software package includes two solvers that can be used via
Python scripting: Vector Finite Difference (VFD) Mode Solver and Finite Difference Time Domain (FDTD) Electromagnetic Solvers.
Download our 30-day Free Evaluations, lab assignments, and other freeware here.Â
Optiwave software can be used in different industries and applications, including Fiber Optic Communication, Sensing, Pharma/Bio, Military & Satcom, Test & Measurement, Fundamental Research, Solar Panels, Components / Devices, etc..
OptiOmega is a collection of products specialized for photonic integrated circuit simulation. It automates the design flow for
generating compact models from device level simulations. The software package includes two solvers that can be used via
Python scripting: Vector Finite Difference (VFD) Mode Solver and Finite Difference Time Domain (FDTD) Electromagnetic Solvers.
Download our 30-day Free Evaluations, lab assignments, and other freeware here.Â
Hi all,
In the layout parameters there is a parameter termed “Samples Per Bit”. Now what does this mean? And how does this affect the simulation process. Does it have any impact on the bandwidth of the designed system?
Please let me know how to set it.
Thank You.
Hi Gokul,
samples per bit or Number of samples for bit used to discretize the sampled signals. It must be a power of two. it depends on sampling frequency that you are taking. Thanks.
Regards,
Dhiman
Hi Gokul,
As you know, the signals are not processed as continuous-form signals. So this parameters determine the number of samples you want to be taken from each bit and this has to be compatible with Nyquist’s sampling theorem or otherwise, the signal cannot be reconstructed from samples. Also, the more the number of samples, the easier the signal is sometimes reconstructed and therefore, the better the system performance.
regards
Hi Gokul,
The theory underlying your question is quiet broad and related to the quality of your transmission system. Two very good answers were given by Alistu and Dhiman. From myself, I would like to add that extra sampling is often used for the cases with high power penalties that you might have in your channel. In these cases, extra sampling can increase the power of the received signal and, therefore, increase your OSNR.