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<record>
  <title>Low-noise MEMS Sensors for GPS data</title>
  <journal>Journal of Information Organization</journal>
  <author>Lachezar Hristov, Emil Iontchev, Rosen Miletiev and Petar Kapanakov</author>
  <volume>13</volume>
  <issue>2</issue>
  <year>2023</year>
  <doi>https://doi.org/10.6025/jio/2023/13/2/53-61</doi>
  <url>https://www.dline.info/jio/fulltext/v13n2/jiov13n2_3.pdf</url>
  <abstract>To get perfect navigational data for positions, speed, acceleration and direction we applied a wavelet-based algorithm. This algorithm is used to reduce noise obtained from MEMS-based sensors. The treatment to limit the different random errors with signals is used to get low-cost MEMS sensors. GPS data is used to experiment with the introduced algorithm.</abstract>
</record>
