CORDIS Project
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This project focuses on analyzing and improving decoding algorithms for low-density parity-check codes to reduce error rates in data transmission. It aims to enhance code representations and decoder architectures, particularly in the context of convolutional codes, to address issues related to decoding failures.
Iterative decoding algorithms for low-density parity-check (LDPC) codes are known to be subject to decoding failures that result in high error floors in the bit error rate performance curves.
Recently, researchers became aware that the error floor was a result of a number of properties of the code's graph representation, including cycles, stopping sets, trapping sets, absorbing sets, and pseudo-codewords.This research aims at analyzing the error floor phenomenon for these structures and developi…
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