Ritika Brahmadesam, Kush R. Varshney
ICLR 2021
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.
Ritika Brahmadesam, Kush R. Varshney
ICLR 2021
Newton Kinyanjui, Timothy Odonga, et al.
MICCAI 2020
Dennis Wei, Karthikeyan Natesan Ramamurthy, et al.
Statistical Analysis and Data Mining
Aleksandr Y. Aravkin, Kush R. Varshney, et al.
MLSP 2016