Performances of Fast Algorithms for Random Codes Based on Quasigroups for Transmission of Audio Files in Gaussian Channel.

RCBQ are cryptcodes proposed in 2007. Since then, for improving performance of these codes for data transmission through a binary-symmetric and Gaussian channels, several new algorithms have been proposed. The last proposed Fast-Cut-Decoding and Fast-4-Sets-Cut-Decoding algorithm give the best results for transmission of ordinary messages. In this paper we consider performances of these codes for transmission of audio files in Gaussian channel for different values of signal-to-noise ratio (SNR). We present and compare experimental results for bit-error and packet-error probabilities obtained using fast algorithms of RCBQ. In all experiments differences between sent and decoded audio files are considered. Also, a filter for enhancing the quality of the decoded audio files is proposed. The proposed filter makes additional cleaning of the noise in the decoded files, enabling clearer listening to the original sound even after transmission through a channel with lower values of SNR.