On parameter optimization of product codes for iterative bounded distance decoding with scaled reliability

Alireza Sheikh, Alexandre Graell I Amat, Gianluigi Liva, Alex Alvarado

Research output: Contribution to conferencePaperAcademic

18 Downloads (Pure)

Abstract

We use density evolution to optimize the parameters of binary product codes (PCs) decoded based on the recently introduced iterative bounded distance decoding with scaled reliability. We show that binary PCs with component codes of 3-bit error correcting capability provide the best performance-complexity trade-off.
Original languageEnglish
Number of pages4
Publication statusPublished - 2019

Fingerprint Dive into the research topics of 'On parameter optimization of product codes for iterative bounded distance decoding with scaled reliability'. Together they form a unique fingerprint.

Cite this