Add to ORKGPermutation codes were extensively studied in order to correct different types of errors for the applications on power line communication and rank modulation for flash memory. In this paper, we introduce the neural network decoders for permutation codes to correct these errors with one-shot decoding, which treat the decoding as $n$ classification tasks for non-binary symbols for a code of length $n$. These are actually the first general decoders introduced to deal with any error type for these two applications. The performance of the decoders is evaluated by simulations with different error models
Low-density parity-check (LDPC) codes have been one of the most popular error correction candidates ...
Code words traditional can be decoding when applied in artificial neural network. Nevertheless, expl...
Background. Obtaining numerical estimates of the corrective ability of classical codes with high re...
Error Correcting codes are used to ensure integrity, accuracy and fault-tolerance in transmitted dat...
This paper presents a novel Random Neural Network (RNN) based soft decision decoder for block codes....
Convolutional Codes are used in a variety of areas from computers to communications. Ideally one sim...
Error control coding, or channel coding, is an essential part of a communication system. Recent inve...
We demonstrate the use of a continuous Hopfield neural network as a K-WinnerTake-All (KWTA) network....
The main features of error correcting codes and standard decoding techniques are reviewed. Feedforwa...
Due to the curse of dimensionality, the training complexity of the neural network based channel-code...
Several ways of relating the concept of error-correcting codes to the concept of neural networks are...
Channel coding enables reliable communication over unreliable, noisy channels: by encoding messages ...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Neural Network Decoders (NNDs) have been recently considered and investigated as an alternative to t...
Hinging on ideas from physical-layer network coding, some promising proposals of coded random access...
Low-density parity-check (LDPC) codes have been one of the most popular error correction candidates ...
Code words traditional can be decoding when applied in artificial neural network. Nevertheless, expl...
Background. Obtaining numerical estimates of the corrective ability of classical codes with high re...
Error Correcting codes are used to ensure integrity, accuracy and fault-tolerance in transmitted dat...
This paper presents a novel Random Neural Network (RNN) based soft decision decoder for block codes....
Convolutional Codes are used in a variety of areas from computers to communications. Ideally one sim...
Error control coding, or channel coding, is an essential part of a communication system. Recent inve...
We demonstrate the use of a continuous Hopfield neural network as a K-WinnerTake-All (KWTA) network....
The main features of error correcting codes and standard decoding techniques are reviewed. Feedforwa...
Due to the curse of dimensionality, the training complexity of the neural network based channel-code...
Several ways of relating the concept of error-correcting codes to the concept of neural networks are...
Channel coding enables reliable communication over unreliable, noisy channels: by encoding messages ...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Neural Network Decoders (NNDs) have been recently considered and investigated as an alternative to t...
Hinging on ideas from physical-layer network coding, some promising proposals of coded random access...
Low-density parity-check (LDPC) codes have been one of the most popular error correction candidates ...
Code words traditional can be decoding when applied in artificial neural network. Nevertheless, expl...
Background. Obtaining numerical estimates of the corrective ability of classical codes with high re...