This paper proposes a low-complexity neural network decoder based on the layered min-
sum algorithm to decode cyclic codes. By generalizing the layered min-sum algorithm to its …

This paper deals with a posteriori probability (APP) decoding of high-rate convolutional
codes, using the dual code's trellis. After deriving the dual APP (DAPP) algorithm from the …

In this paper, we jointly design architecture-aware (AA) low-density parity-check
convolutional codes (LDPC-CCs) and the associated memory-based decoder architecture …

This letter presents a new technique to construct high-rate convolutional codes using a
structure formed by a high-rate block code and a simpler convolutional code. The goal is to …

The success of deep learning has encouraged its applications in decoding error-correcting
codes, eg, LDPC decoding. In this paper, we propose a model-driven deep learning method …

In this paper, time-invariant spatially coupled low-density parity-check convolutional codes
(SC-LDPC-CCs) are considered, and the connections existing between their low-weight …

Reed-Solomon convolutional concatenated (RSCC) code is a popular coding scheme
whose application can be found in wireless and space communications. However, iterative …

Energy consumption of low-density parity-check (LDPC) codes in different implementations
is evaluated. Decoder's complexity is reduced by finite precision representation of …

Abstract Highly Reliable Communication (HRC) is an emerging paradigm for meeting the
quality of service requirements of new applications such as intelligent vehicle networking …