This paper considers the blind recognition of the type and the encoding parameters of
channel codes from the Gaussian noisy signals. Specifically, based on the recurrent neural …

This paper considers the blind recognition of channel codes from noisy received signal.
Specifically, based on the residual neural network (ResNet), the recurrent neural network …

Blind identification of channel codes is becoming increasingly important in signal
interception and intelligent communication systems. However, most existing channel codes …

Existing schemes for blind recognition of channel codes make use of the average log-
likelihood ratio (LLR) of each code's parity checks. There are difficulties in setting necessary …

We consider the problem of recovering channel code parameters over a candidate set by
merely analyzing the received encoded signals. We propose a deep learning-based …

We present a fast algorithm that, for a given input sequence and a linear channel code,
computes the syndrome posterior probability (SPP) of the code, ie, the probability that all …

We present a fast mechanism for determining which channel code that was used on a
communication link. In the proposed scheme, the receiver does not need to receive the …

Forward error correcting (FEC) codes are used to improve the reliability of digital
communication systems. They introduce redundancy in the signal which helps the receiver …

In order to enhance the reliability of digital transmissions, error correcting codes are used in
every digital communication system. To meet the new constraints of data rate or reliability …

In non-cooperative communication systems, effective parameter identification with small
samples intercepted bitstream is a major challenge. Faced with this demand, a solution to …