Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17170
Title: Fast Decoding with Cryptcodes for Burst Errors
Authors: Popovska-Mitrovikj, Aleksandra
Bakeva, Verica 
Mechkaroska, Daniela
Keywords: Cryptcoding, Burst errors, Gilbert-Elliott channel, SNR, Quasigroup
Issue Date: 2020
Publisher: Springer International Publishing
Conference: Machine Learning and Applications. ICT Innovations 2020.
Abstract: Random Codes Based on Quasigroups (RCBQ) are cryptcodes that provide a correction of transmission errors and an information security, all with one algorithm. Standard algorithm, Cut-Decoding and 4-Sets-Cut-Decoding algorithms are different versions of RCBQ and they are proposed elsewhere. The decoding in all these algorithms is list decoding, so the speed of the decoding depends on the list size. In order to decrease the list size, Fast-Cut-Decoding and Fast-4-Sets-Cut-Decoding algorithms are proposed elsewhere and they improve performances of these codes for transmission through a Gaussian channel. Here, we propose a new modification of these algorithms to improve their properties for transmission through a burst channels.
URI: http://hdl.handle.net/20.500.12188/17170
DOI: 10.1007/978-3-030-62098-1_14
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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