Abstract
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.
Original language | English (US) |
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Pages (from-to) | 84-92 |
Number of pages | 9 |
Journal | Digital Signal Processing: A Review Journal |
Volume | 48 |
DOIs | |
State | Published - Jan 2016 |
Keywords
- Adaptive filtering
- Food steganography
- Noise cancellation
- Odor cancellation
- Perception
- Structured sparsity
ASJC Scopus subject areas
- Signal Processing
- Computer Vision and Pattern Recognition
- Statistics, Probability and Uncertainty
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Artificial Intelligence
- Applied Mathematics