WebNov 30, 2011 · Blind encoder identification has drawn research interest lately. In this paper, we would like to tackle the blind identification of binary low-density parity-check (LDPC) codes for binary phase-shift keying (BPSK) signals. We propose a novel blind identification system which consists of three components, namely expectation-maximization (EM ... WebDec 1, 2011 · This paper considers the problem of recognition of (n, k, m) convolutional code from a corrupted bit stream in a reverse-engineering communication system and …
A Deep Convolutional Learning Method for Blind Recognition of Channel Codes
WebMar 5, 2024 · Blind recognition of channel codes is to restore the original data of received coding sequence by recognizing the encoding parameters of the original information. … WebIn this Letter, we propose a new method to blindly recognise BCH codes in the FTN signalling system. The proposed method is based on the property of GFFT of the code polynomial. Simulation results demonstrate that the … jenks academy arts \u0026 sciences
Fast Blind Recognition of Channel Codes - YouTube
WebThe recognition of channel codes using an intercepted sequence of noise-affected code words is commonly known as reverse analysis . Techniques for blind code identification have gained increasingly more attention from researchers, and several types of channel codes such as low-density parity-check (LDPC) [ 4 , 5 ] and turbo [ 6 , 7 ] codes have ... WebIEEE TRANSACTIONS ON COMMUNICATIONS, ACCEPTED FOR PUBLICATION 1 Fast Blind Recognition of Channel Codes Reza Moosavi and Erik G. Larsson Abstract— … WebNov 14, 2024 · 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 (RNN), and the attention mechanism, three types of recognizers are proposed to recognize the type of a channel code through a classification process. jenks \u0026 cattell engineering ltd head office