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Abstract: Event-driven analog-to-digital conversion and associated digital signal processing techniques are reviewed. Such techniques, still in the research stage, have the potential to significantly ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Abstract: This tutorial paper provides a short introduction to selected aspects of sensor data fusion by discussing characteristic examples. We consider three cases when fusion of sensor data is ...
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