Title | ||
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Detection of a Robust High-Frequency Range via Noise Analysis in a Real-World Environment. |
Abstract | ||
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Recently, many studies have been conducted on using inaudible high frequencies for wireless communication based on smart devices and data transmission algorithms. However, many studies have identified a problem such that transmission accuracy is extremely low because of ambient noise in the real-life environment. To solve this problem, we proposed an application and server system. The proposed application can gather many sounds, including those with high frequencies; the gathered high frequencies are sent to a server system that can detect a robust high-frequency range via statistical processing. We tested the proposed application's ability to gather noise and high frequencies for a certain period of time to evaluate performance. According to the testing results, the proposed application and server system could detect a robust high-frequency range via noise analysis in real life. Therefore, the proposed application and server could be a useful technology for future research on inaudible high frequencies. |
Year | DOI | Venue |
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2016 | 10.1007/978-981-10-3023-9_2 | ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING |
Keywords | DocType | Volume |
Smart device,High-frequency communication,Robust high frequency,Wireless communication | Conference | 421 |
ISSN | Citations | PageRank |
1876-1100 | 1 | 0.36 |
References | Authors | |
6 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Myoung-beom Chung | 1 | 21 | 4.31 |
Il-Ju Ko | 2 | 17 | 6.53 |