Compress Voice Transference over low Signal Strength in Satellite Communication
Saira Beg, M. Fahad Khan, Faisal Baig
TL;DR
This study compares six compression algorithms to identify the most effective method for reducing SMS count in voice transference over satellite communication under low signal conditions.
Contribution
It evaluates and identifies PPM as the best compression algorithm for voice-to-SMS transfer in satellite communication, providing practical insights for developers.
Findings
PPM offers the best compression ratio.
PPM produces fewer SMS messages.
The developed application was tested over 100 times.
Abstract
This paper presents the comparison of compression algorithms for voice transferring method over SMS in satellite communication. Voice transferring method over SMS is useful in situations when signal strength is low and due to poor signal strength voice call connection is not possible to initiate or signal dropped during voice call. This method has one serious flaw that it produces large number of SMS while converting voice into SMS. Such issue is catered to some extend by employing any compression algorithm. In this paper our major aim is to find best compression scheme for said method, for that purpose we compare 6 different types of compression algorithms which are; LZW (Lempel-Ziv-Welch), Huffman coding, PPM (Prediction by partial matching), Arithmetic Coding (AC), BWT (Burrows-Wheeler-Transform), LZMA (Lempel-Ziv-Markov chain). This comparison shows that PPM compression method…
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