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首页> 外文期刊>International journal of system of systems engineering >Transference and retrieval of compress voice message over low signal strength in satellite communication
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Transference and retrieval of compress voice message over low signal strength in satellite communication

机译:在卫星通信中以低信号强度传输和检索压缩语音消息

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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.
机译:本文提供了一种通过SMS通过卫星通信系统发送语音的替代方法。 SMS上的语音传输方法在信号强度较低且由于信号强度较差而无法启动语音呼叫连接或在语音呼叫过程中信号掉线的情况下很有用。因此,我们记录语音,应用自适应维纳滤波器去除背景噪音,使用语音活动检测器(VAD)检测语音段,并丢弃语音的清音段,然后进行压缩。我们比较了六种不同类型的压缩算法。 Lempel-Ziv-Welch(LZW),霍夫曼编码,部分匹配预测(PPM),算术编码(AC),Burrows-Wheeler变换(BWT)和Lempel-Ziv-Markov链(LZMA)。每种压缩方案的平均压缩率分别为16.22、10.22、25.33、14.77、21和18.44。为了进行实验,首先我们使用Java 2平台微型版(J2ME)语言开发应用程序,并使用Thuraya SG-2520卫星电话。如果我们使用带有PPM压缩方案的自适应Wiener滤波器而不是LZW方案,则建议的算法的性能会提高约20%。

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