---
res:
  bibo_abstract:
  - In this paper we present a combined hardware/software approach for synchronizing
    the sampling clocks of an acoustic sensor network. A first clock frequency offset
    estimate is obtained by a time stamp exchange protocol with a low data rate and
    computational requirements. The estimate is then postprocessed by a Kalman filter
    which exploits the specific properties of the statistics of the frequency offset
    estimation error. In long term experiments the deviation between the sampling
    oscillators of two sensor nodes never exceeded half a sample with a wired and
    with a wireless link between the nodes. The achieved precision enables the estimation
    of time difference of arrival values across different hardware devices without
    sharing a common sampling hardware.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Joerg
      foaf_name: Schmalenstroeer, Joerg
      foaf_surname: Schmalenstroeer
      foaf_workInfoHomepage: http://www.librecat.org/personId=460
  - foaf_Person:
      foaf_givenName: Reinhold
      foaf_name: Haeb-Umbach, Reinhold
      foaf_surname: Haeb-Umbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=242
  dct_date: 2013^xs_gYear
  dct_language: eng
  dct_subject:
  - synchronization
  - acoustic sensor network
  dct_title: Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained
    Clock Skew Error Model@
...