Data reduction using random sampling in wireless vibration measurement

Kalle Määttä, Markku Järviluoma

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

This research work was done to find out suitable methods to reduce data amount used in frequency domain analysis in wireless measurement applications. Additive random sampling technique was used as a sampling method for data reduction in the sampling process. One goal was also to implement a wireless measuring system that uses additive random sampling as sampling technique. This paper describes the achieved simulation and hardware measurement results.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationWorkshop on Digital Alias-free Signal Processing, WDASP 07
Pages40-44
Publication statusPublished - 2007
MoE publication typeB3 Non-refereed article in conference proceedings
EventWorkshop on Digital Alias-Free Signal Processing, WDASP 2007 - London, United Kingdom
Duration: 17 Apr 2007 → …

Conference

ConferenceWorkshop on Digital Alias-Free Signal Processing, WDASP 2007
Abbreviated titleWDASP 2007
CountryUnited Kingdom
CityLondon
Period17/04/07 → …

Keywords

  • Additive random sampling
  • wireless measurement
  • frequency domain analysis

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  • Cite this

    Määttä, K., & Järviluoma, M. (2007). Data reduction using random sampling in wireless vibration measurement. In Proceedings: Workshop on Digital Alias-free Signal Processing, WDASP 07 (pp. 40-44)