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IET Communications
Article . 2019 . Peer-reviewed
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Gaussian channel transmission of images and audio files using cryptcoding

Authors: Verica Bakeva; Aleksandra Popovska‐Mitrovikj; Daniela Mechkaroska; Vesna Dimitrova; Boro Jakimovski; Vladimir Ilievski;

Gaussian channel transmission of images and audio files using cryptcoding

Abstract

Random codes based on quasigroups (RCBQ) are cryptcodes, i.e. they are error‐correcting codes, which provide information security. Cut‐Decoding and 4‐Sets‐Cut‐Decoding algorithms for these codes are defined elsewhere. Also, the performance of these codes for the transmission of text messages is investigated elsewhere. In this study, the authors investigate the RCBQ's performance with Cut‐Decoding and 4‐Sets‐Cut‐Decoding algorithms for transmission of images and audio files through a Gaussian channel. They compare experimental results for both coding/decoding algorithms and for different values of signal‐to‐noise ratio. In all experiments, the differences between the transmitted and decoded image or audio file are considered. Experimentally obtained values for bit‐error rate and packet error rate and the decoding speed of both algorithms are compared. Also, two filters for enhancing the quality of the images decoded using RCBQ are proposed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average
gold