Sparse sampling for sensing temporal data — building an optimized envelope

@article{Domb2016SparseSF,
  title={Sparse sampling for sensing temporal data — building an optimized envelope},
  author={Menachem Domb and Guy Leshem and Elisheva Bonchek-Dokow and Esther David and Yuh-Jye Lee},
  journal={2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI)},
  year={2016},
  pages={241-247}
}
IoT systems collect vast amounts of data which can be used in order to track and analyze the structure of future recorded data. However, due to limited computational power, bandwith, and storage capabilities, this data cannot be stored as is, but rather must be reduced in such a way so that the abilities to analyze future data, based on past data, will not… CONTINUE READING