Gaussian channel transmission of images and audio files using cryptcoding

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 inve...

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Veröffentlicht in:IET communications Jg. 13; H. 11; S. 1625 - 1632
Hauptverfasser: Bakeva, Verica, Popovska-Mitrovikj, Aleksandra, Mechkaroska, Daniela, Dimitrova, Vesna, Jakimovski, Boro, Ilievski, Vladimir
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 16.07.2019
Schlagworte:
4‐sets‐cut‐decoding algorithms
audio coding
audio files
bit‐error rate
channel coding
coding algorithm
cryptcoding
cryptography
cut‐decoding algorithm
decoded image
decoding
decoding speed
error correction codes
error statistics
error‐correcting codes
Gaussian channel transmission
Gaussian channels
image coding
image files
information security
packet error rate
quasigroups
random codes
RCBQ performance
Research Article
audio files
error correction codes
quasigroups
channel coding
packet error rate
information security
cryptography
cut-decoding algorithm
image files
decoding speed
decoding
audio coding
random codes
RCBQ performance
error-correcting codes
decoded image
4-sets-cut-decoding algorithms
cryptcoding
bit-error rate
image coding
coding algorithm
Gaussian channels
Gaussian channel transmission
error statistics
ISSN:1751-8628, 1751-8636
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Beschreibung
Zusammenfassung: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.
ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2018.5636