The Information Bottleneck method is a powerful and generic tool from the field of machine
learning. It compresses an observation to a quantized variable while attempting to preserve …

In this paper, we propose a generalized minimum-sum decoding algorithm using a linear
approximation (LAMS) for protograph-based low-density parity-check (PB-LDPC) codes with …

− 5. A new scheme is proposed as a stopping criterion, which is mainly based on the
estimated value of SF at the second component decoder and the decoded frozen bits for …

A low-density parity-check code (LDPC) is one of the classical error-correcting code for
message transmission over noisy channel. It meets desired Shannon limit performance and …

Min-sum algorithm (MSA) and its modification are used in LDPC decoder implementations
because of its error performance and low computation complexity. In this paper a modified …

第5 代移动通信系统(5th generation mobile communication systemꎬ 5G)
业务需求的多样性以及各业务场景的典型特性给新空口(new radioꎬ NR) 的信道编码技术带来 …

Decoding high complexity is a major issue to design a decode and forward (DF) relay
protocol. Thus, the establishment of low complexity decoding system would beneficial to …

There are different types of error correction codes (CCE), each of which gives different trade-
offs interms of decoding performanceand energy consumption. We propose to deal with this …

Abstract Low Density Parity Check (LDPC) codes are one of the most powerful error
correction codes available today. Its Shannon capability that closely matches performance …

Concatenated zigzag (CZ) codes are classified as one kind of parallel-concatenated codes
with powerful performance and low complexity. This kind of codes has flexible …