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Bibliographic Details
Main Authors: Vedantam, Atreya, Ganti, Radha Krishna
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2603.02031
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author Vedantam, Atreya
Ganti, Radha Krishna
author_facet Vedantam, Atreya
Ganti, Radha Krishna
contents Forward Error Correction (FEC) is used ubiquitously in the communication pipeline. We explore noncooperative decoding where we aim to recover the code rate of a linear block code. We present a metric to characterize the quality of the code rate recovery which uses any rank based estimation technique. We derive a closed form expression for this metric in terms of the algorithmic and the environmental parameters and assert that it should be low for good recovery. We use this metric to derive an expression for a better code rate estimate in high noise conditions and compare it with existing estimates. Finally we validate the derived expression for the metric and the improved performance in the code rate estimate by simulating the recovery of a Low Density Parity Check (LDPC) code. This also enables us to derive the optimal algorithmic parameters for recovery.
format Preprint
id arxiv_https___arxiv_org_abs_2603_02031
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Characterization of Blind Code Rate Recovery in Linear Block Codes
Vedantam, Atreya
Ganti, Radha Krishna
Information Theory
Forward Error Correction (FEC) is used ubiquitously in the communication pipeline. We explore noncooperative decoding where we aim to recover the code rate of a linear block code. We present a metric to characterize the quality of the code rate recovery which uses any rank based estimation technique. We derive a closed form expression for this metric in terms of the algorithmic and the environmental parameters and assert that it should be low for good recovery. We use this metric to derive an expression for a better code rate estimate in high noise conditions and compare it with existing estimates. Finally we validate the derived expression for the metric and the improved performance in the code rate estimate by simulating the recovery of a Low Density Parity Check (LDPC) code. This also enables us to derive the optimal algorithmic parameters for recovery.
title Characterization of Blind Code Rate Recovery in Linear Block Codes
topic Information Theory
url https://arxiv.org/abs/2603.02031