Matthew Arnold, David Piorkowski, et al.
IBM J. Res. Dev
Olfaction, the sense of smell, has received scant attention from a signal processing perspective in comparison to audition and vision. In this paper, we develop a signal processing paradigm for olfactory signals based on new scientific discoveries including the psychophysics concept of olfactory white. We describe a framework for predicting the perception of odorant compounds from their physicochemical features and use the prediction as a foundation for several downstream processing tasks. We detail formulations for odor cancellation and food steganography, and provide real-world empirical examples for the two tasks. We also discuss adaptive filtering and other olfactory signal processing tasks at a high level.
Matthew Arnold, David Piorkowski, et al.
IBM J. Res. Dev
Sanghamitra Dutta, Dennis Wei, et al.
ICML 2020
Huozhi Zhou, Ashish Jagmohan, et al.
DSW 2019
Lav R. Varshney, Kush R. Varshney
Proceedings of the IEEE