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Data Detection Algorithm Based on GMM in the Acoustic Data Transmission System  

Song, Ji-Hyun (Dep. of Electronics Engineering, Inha University)
Chang, Joon-Hyuk (Dep. of Electronics Engineering, Inha University)
Kim, Moon-Kee (C&I Biz Future Tech. Institue, SK Telecom)
Kim, Dong-Keon (C&I Biz Future Tech. Institue, SK Telecom)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.4, 2011 , pp. 136-141 More about this Journal
Abstract
In this paper, we propose an approach to improve the data detection performance of the acoustic data transmission system based on the modulated complex lapped transform (MCLT). We first present an effective analysis of the features and the detection method of data in the acoustic data transmission system. And then feature vectors which are applied to the Gaussian mixture model (GMM) are selected from relevant parameters of the previous system for the efficient data detection. For the purpose of evaluating the performance of the proposed algorithm, Bit error rate (BER) of the received data was measured at different environments (music genres (rock, pop, classic, jazz) and different distances (1m∼5m) from the loudspeaker to the microphone in a office room) and yields better results compared with the conventional scheme of the acoustic data transmission system based on the MCLT.
Keywords
Acoustic data transmission system; Modulated complex lapped transform (MCLT); Gaussian Mixture Model (GMM);
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Times Cited By KSCI : 1  (Citation Analysis)
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