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eess.SP2024
Probabilistic Shaping for Nonlinearity Tolerance
Mohammad Taha Askari, Lutz Lampe
Optimizing the input probability distribution of a discrete-time channel is a standard step in the information-theoretic analysis of digital communication systems. Nevertheless, ma…
eess.SP2024
Perturbation-based Sequence Selection for Probabilistic Amplitude Shaping
Mohammad Taha Askari, Lutz Lampe
We introduce a practical sign-dependent sequence selection metric for probabilistic amplitude shaping and propose a simple method to predict the gains in signal-to-noise ratio (SNR…
eess.SP2023
Bayesian Phase Search for Probabilistic Amplitude Shaping
Mohammad Taha Askari, Lutz Lampe
We introduce a Bayesian carrier phase recovery (CPR) algorithm which is robust against low signal-to-noise ratio scenarios. It is therefore effective for phase recovery for probabi…