Objective 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 developing improved code representations as well as decoder architectures to mitigate the error floor. The convolutional counterparts of LDPC codes, namely LDPC convolutional codes will also be examined in this scope. It is proposed to extend the results to the decoding of conventional codes with denser graph representations, where the error floor issue is even more severe. Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2009-RG - Marie Curie Action: "Reintegration Grants" Call for proposal FP7-PEOPLE-2010-RG See other projects for this call Funding Scheme MC-IRG - International Re-integration Grants (IRG) Coordinator BOGAZICI UNIVERSITESI Address Bebek 34342 Istanbul Türkiye See on map Region İstanbul İstanbul İstanbul Activity type Higher or Secondary Education Establishments Administrative Contact Gulay Barbarosoglu (Prof.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution € 100 000,00
