Mohammad Farsi
Mohammad Farsi is a Ph.D. student immersed in the realm of communication systems. Currently, he is part of the Communication System Group, and his main research area involves assessing the complete capacity of fiber optic communication systems. His academic path has fostered a strong interest in different areas, including information theory, digital signal processing, machine learning, deep learning, and wireless communication.
Showing 7 publications
Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices
Pilot distributions for phase noise estimation in electro-optic frequency comb systems
Improved Polarization Tracking in the Presence of PDL
Capacity Bounds under Imperfect Polarization Tracking
Polarization Tracking in the Presence of PDL and Fast Temporal Drift
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