2 citations · 2 across the 6 of their papers we have counts for
6 papers
Endomorphisms of Linear Block Codes
Jonathan Mandelbaum, Sisi Miao, Holger Jäkel +1
The automorphism groups of various linear codes are extensively studied yielding insights into the respective code structure. This knowledge is used in, e.g., theoretical analysis…
Performance Analysis of Generalized Product Codes with Irregular Degree Distribution
Sisi Miao, Jonathan Mandelbaum, Lukas Rapp +2
This paper investigates the theoretical analysis of intrinsic message passing decoding for generalized product codes (GPCs) with irregular degree distributions, a generalization of…
A Joint Code and Belief Propagation Decoder Design for Quantum LDPC Codes
Sisi Miao, Jonathan Mandelbaum, Holger Jäkel +1
Quantum low-density parity-check (QLDPC) codes are among the most promising candidates for future quantum error correction schemes. However, a limited number of short to moderate-l…
Improved Soft-aided Decoding of Product Codes with Adaptive Performance-Complexity Trade-off
Sisi Miao, Lukas Rapp, Laurent Schmalen
We propose an improved soft-aided decoding scheme for product codes that approaches the decoding performance of conventional soft-decision TPD with only a 0.2 dB gap while keeping…
Error-and-erasure Decoding of Product and Staircase Codes with Simplified Extrinsic Message Passing
Sisi Miao, Lukas Rapp, Laurent Schmalen
The decoding performance of product codes and staircase codes based on iterative bounded-distance decoding (iBDD) can be improved with the aid of a moderate amount of soft informat…
Improved Soft-aided Error-and-erasure Decoding of Product Codes with Dynamic Reliability Scores
Sisi Miao, Lukas Rapp, Laurent Schmalen
We propose a novel soft-aided low-complexity decoder for product codes based on dynamic reliability scores and error-and-erasure decoding. We observe coding gains of up to 1.2 dB c…