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Transference and retrieval of compress voice message over low signal strength in satellite communication

Transference and retrieval of compress voice message over low signal strength in satellite... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of System of Systems Engineering Inderscience Publishers

Transference and retrieval of compress voice message over low signal strength in satellite communication

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1748-0671
eISSN
1748-068X
DOI
10.1504/IJSSE.2013.056303
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of System of Systems EngineeringInderscience Publishers

Published: Jan 1, 2013

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