Generalized Function-Correcting Partition Codes
Charul Rajput, Mahak, V. Lalitha

TL;DR
This paper introduces generalized function-correcting partition codes (GFCPCs) that protect multiple message partitions with different error requirements, unifying and extending previous coding frameworks.
Contribution
It presents a new unified framework for GFCPCs, a construction procedure, bounds on redundancy, and demonstrates improved efficiency over existing codes.
Findings
GFCPC framework unifies multiple error protection schemes.
Derived bounds on optimal redundancy for GFCPCs.
Examples show GFCPCs can achieve lower redundancy than existing codes.
Abstract
We introduce generalized function-correcting partition codes (GFCPCs) that simultaneously protect multiple partitions of the message space against different numbers of errors. Given partitions with respective distance requirements, a GFCPC is a systematic encoding that guarantees, for each partition, a specified minimum Hamming distance between codewords whose messages lie in different blocks. This framework unifies and generalizes both function-correcting partition codes, which protect multiple functions with a common error-correction level, and function-correcting codes with data protection, which assign different levels of protection to data and a single function. We present a multi-step construction procedure for these codes and demonstrate it with some examples. We derive general upper and lower bounds on the optimal redundancy, including the upper bound which considers the join of…
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