Recently deep neural networks have been successfully applied in channel coding to improve the decoding performance. However, state-of-the-art decoders cannot achieve high performance and low complexity simultaneously. To overcome this challenge, paper we propose doubly residual (DRN) decoder. By integrating both input learning design of decoder, DRN enables significant improvement while maintai...

The upcoming Galileo High Accuracy Service (HAS) will provide decimeter-level Precise Point Positioning (PPP) corrections free of charge. HAS are High-Parity Vertical Reed–Solomon encoded on the E6 navigation data in a format reminiscent but not identical to many State Space Representation (SSR) formats. In this paper we present HASlib which is an open-source library intended facilitate use R&D...

The key objective of this project is to design a decoder which can be used for hardware purpose. A decoder is a combinational circuit that converts binary information from n input lines to a maximum of m=2 output lines. In this paper are design of Dynamic decoder and Tree Decoder. Also shows a comparative analysis of tree decoder with corresponding dynamic decoder and tree decoder highlights th...

--Performance degradation is an major problem in a relay based Decode-and-Forward (DF) receiving cooperative system. In the DF protocol , existing decoder performances have high decoding complexity, because destination require exact knowledge of the sourcerelay link along with the channel coefficient of source-destination and relay –destination links. In the proposed method, degradation can be ...

In this paper, we show that applying a machine learning technique called auto-decoder (AD) to high-rate and short length Reed–Muller (RM) decoding enables it achieve maximum likelihood (MLD) performance faster speed than when fast Hadamard transform (FHT) is applied in additive white Gaussian noise (AWGN) channels. The approximately 1.8 times 125 the FHT for R(1,4) R(2,4), respectively. number ...

Qudit toric codes are a natural higher-dimensional generalization of the wellstudied qubit toric code. However, standard methods for error correction of the qubit toric code are not applicable to them. Novel decoders are needed. In this paper we introduce two renormalization group decoders for qudit codes and analyse their error correction thresholds and efficiency. The first decoder is a gener...