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Acoustic Signal Analysis for Use in Compressed Sensing Application

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Innovations for Community Services (I4CS 2018)

Abstract

The subject of the study was the possibility of application of compressed sensing in wireless sensor networks. Compressed sensing is a fast-forwarding area that provides the basis for data acquisition methods in which it does not apply established signal sampling procedures but, subject to certain conditions, it allows to significantly reduce the number of signal measurements. As a result, it may be faster to obtain data or reduce energy demands on data acquisition. This paper is dedicated to the investigation of suitable types of acoustic transmitted signal for localization purposes in Wireless Sensor Network.

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References

  1. Wireless sensor networks. http://www.idtechex.com/research/reports/wireless-sensornetworks-wsn-2014-2024-forecasts-technologies-players-000382.asp. iDTechEx 2008. 30 August 2016

  2. Mallat, S., Zhang, Z.: Matching pursuits with time-frequency dictionaries. IEEE Trans. Signal Process. 41(12), 3397–3415 (1993). https://doi.org/10.1109/78.258082

    Article  MATH  Google Scholar 

  3. Chen, S.S., Donoho, D.L., Saunders, M.A.: Atomic decomposition by basis pursuit. SIAM Rev. 43(1), 129–159 (2001). https://doi.org/10.1137/s003614450037906x

    Article  MathSciNet  MATH  Google Scholar 

  4. Donoho, D.: Stanford University. http://statweb.stanford.edu/donoho/reports.html. 21 March 2017

  5. Candes, E.: Stanford University. https://statweb.stanford.edu/candes/publications.html. 21 March 2017

  6. Candes, E.J., Wakin, M.B.: An introduction to compressive sampling. IEEE Signal Process. Mag. 25(2), 21–30 (2008). ISSN 1053-5888, https://doi.org/10.1109/msp.2007.914731

    Article  Google Scholar 

  7. Hrbáček, R., Rajmic, P., et al.: Rídké reprezentace signálu: komprimované snímání. Elektrorevue 13(6) (2011)

    Google Scholar 

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Correspondence to Veronika Olešnaníková .

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Olešnaníková, V., Karpiš, O., Čechovič, L., Molka-Danielsen, J. (2018). Acoustic Signal Analysis for Use in Compressed Sensing Application. In: Hodoň, M., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2018. Communications in Computer and Information Science, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-319-93408-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-93408-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93407-5

  • Online ISBN: 978-3-319-93408-2

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