Title: Transference and retrieval of compress voice message over low signal strength in satellite communication
Authors: Saira Beg; Muhammad Fahad Khan; Faisal Baig
Addresses: COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, 46000, Pakistan ' Federal Urdu University of Arts, Science and Technology, G-7/1, Islamabad, 46000, Pakistan ' Federal Urdu University of Arts, Science and Technology, G-7/1, Islamabad, 46000, Pakistan
Abstract: This paper provides an alternative way of sending voice using satellite communication system through SMS. 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 is dropped during voice call. So we record voice, apply adaptive Wiener filter to remove background noise, detect voice segments using voice activity detector (VAD) and discard unvoiced segment of voice and after this apply compression. We compare six different types of compression algorithms; Lempel-Ziv-Welch (LZW), Huffman coding, prediction by partial matching (PPM), arithmetic coding (AC), Burrows-Wheeler-transform (BWT) and Lempel-Ziv-Markov chain (LZMA). Each compression scheme achieves an average compression ratio of 16.22, 10.22, 25.33, 14.77, 21 and 18.44 respectively. For experimentation, first we develop an application using Java 2 Platform, Micro Edition (J2ME) language and use Thuraya SG-2520 satellite phone. Proposed algorithm performs approximately 20% better if we use adaptive Wiener filter with PPM compression scheme instead LZW scheme.
Keywords: low signal strength; lossless compression techniques; satellite communications; voice compression; satellite SMS; short messaging service; adaptive Wiener filter; prediction by partial matching.
International Journal of System of Systems Engineering, 2013 Vol.4 No.2, pp.174 - 186
Available online: 09 Sep 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article