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20192025
most citedData-Driven Neural Polar Codes for Unknown Channels With and Without Memory

2 citations · 2 across the 5 of their papers we have counts for

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cs.IT2025

Code Rate Optimization via Neural Polar Decoders

Ziv Aharoni, Bashar Huleihel, Henry D Pfister +1

This paper proposes a method to optimize communication code rates via the application of neural polar decoders (NPDs). Employing this approach enables simultaneous optimization of…

cs.IT2024

The Duality Upper Bound for Finite-State Channels with Feedback

Bashar Huleihel, Oron Sabag, Ziv Aharoni +1

This paper investigates the capacity of finite-state channels (FSCs) with feedback. We derive an upper bound on the feedback capacity of FSCs by extending the duality upper bound m…

cs.IT2023★ 2 cited

Data-Driven Neural Polar Codes for Unknown Channels With and Without Memory

Ziv Aharoni, Bashar Huleihel, Henry D. Pfister +1

In this work, a novel data-driven methodology for designing polar codes for channels with and without memory is proposed. The methodology is suitable for the case where the channel…

cs.IT2023

Capacity of Finite-State Channels with Delayed Feedback

Bashar Huleihel, Oron Sabag, Haim H. Permuter +1

In this paper, we investigate the capacity of finite-state channels (FSCs) in presence of delayed feedback. We show that the capacity of a FSC with delayed feedback can be computed…

cs.IT2019

Computable Upper Bounds on the Capacity of Finite-State Channels

Bashar Huleihel, Oron Sabag, Haim H. Permuter +2

We consider the use of the well-known dual capacity bounding technique for deriving upper bounds on the capacity of indecomposable finite-state channels (FSCs) with finite input an…

cs.IT2019

Graph-Based Encoders and their Performance for Finite-State Channels with Feedback

Oron Sabag, Bashar Huleihel, Haim Permuter

The capacity of unifilar finite-state channels in the presence of feedback is investigated. We derive a new evaluation method to extract graph-based encoders with their achievable…