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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wireless sensor networks. http://www.idtechex.com/research/reports/wireless-sensornetworks-wsn-2014-2024-forecasts-technologies-players-000382.asp. iDTechEx 2008. 30 August 2016
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
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
Donoho, D.: Stanford University. http://statweb.stanford.edu/donoho/reports.html. 21 March 2017
Candes, E.: Stanford University. https://statweb.stanford.edu/candes/publications.html. 21 March 2017
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
Hrbáček, R., Rajmic, P., et al.: Rídké reprezentace signálu: komprimované snímání. Elektrorevue 13(6) (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-93408-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93407-5
Online ISBN: 978-3-319-93408-2
eBook Packages: Computer ScienceComputer Science (R0)