Titlebook: Cryptocoding Based on Quasigroups; Daniela Mechkaroska,Aleksandra Popovska-Mitrovikj, Book 2024 The Author(s), under exclusive license to

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https://doi.org/10.1007/978-981-16-0788-2lgorithms is to increase the decoding speed and decrease the probability of bit-error. Here, we present several experimental results obtained with these algorithms and analyze the results for bit-error and packet-error probabilities and decoding speed when messages are transmitted through Gaussian c

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use the Gilbert-Elliot model. We consider two kinds of Gilbert-Eliott channels, in the first one in each state the channel is binary-symmetric and in the second one, the channel is Gaussian. Experimental results for bit-error and packet-error probabilities obtained for different channel and code pa

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,Cryptocodes Based on Quasigroups for Burst Channels,ication of the filter for enhancing the quality of decoded images. With the considered filter clearer images are obtained. At the end of this chapter, we investigate an adoption of Fast-Cut-Decoding and Fast-4-Sets-Cut-Decoding algorithms for transmission through burst channels, called FastB-Cut-Dec

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ication of the filter for enhancing the quality of decoded images. With the considered filter clearer images are obtained. At the end of this chapter, we investigate an adoption of Fast-Cut-Decoding and Fast-4-Sets-Cut-Decoding algorithms for transmission through burst channels, called FastB-Cut-Dec

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