Active odor cancellation

Kush R. Varshney, Lav R Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Noise cancellation is a traditional problem in statistical signal processing that has not been studied in the olfactory domain for unwanted odors. In this paper, we use the newly discovered olfactory white signal class to formulate optimal active odor cancellation using both nuclear norm-regularized multivariate regression and simultaneous sparsity or group lasso-regularized non-negative regression. As an example, we show the proposed technique on real-world data to cancel the odor of durian, katsuobushi, sauerkraut, and onion.

Original languageEnglish (US)
Title of host publication2014 IEEE Workshop on Statistical Signal Processing, SSP 2014
PublisherIEEE Computer Society
Pages25-28
Number of pages4
ISBN (Print)9781479949755
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Workshop on Statistical Signal Processing, SSP 2014 - Gold Coast, QLD, Australia
Duration: Jun 29 2014Jul 2 2014

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings

Other

Other2014 IEEE Workshop on Statistical Signal Processing, SSP 2014
CountryAustralia
CityGold Coast, QLD
Period6/29/147/2/14

Fingerprint

Noise Cancellation
Onion
Lasso
Multivariate Regression
Cancel
Odors
Cancellation
Sparsity
Signal Processing
Regression
Non-negative
Norm
Signal processing
Class

Keywords

  • noise cancellation
  • olfactory signal processing
  • structured sparsity

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

Cite this

Varshney, K. R., & Varshney, L. R. (2014). Active odor cancellation. In 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014 (pp. 25-28). [6884566] (IEEE Workshop on Statistical Signal Processing Proceedings). IEEE Computer Society. https://doi.org/10.1109/SSP.2014.6884566

Active odor cancellation. / Varshney, Kush R.; Varshney, Lav R.

2014 IEEE Workshop on Statistical Signal Processing, SSP 2014. IEEE Computer Society, 2014. p. 25-28 6884566 (IEEE Workshop on Statistical Signal Processing Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Varshney, KR & Varshney, LR 2014, Active odor cancellation. in 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014., 6884566, IEEE Workshop on Statistical Signal Processing Proceedings, IEEE Computer Society, pp. 25-28, 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014, Gold Coast, QLD, Australia, 6/29/14. https://doi.org/10.1109/SSP.2014.6884566
Varshney KR, Varshney LR. Active odor cancellation. In 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014. IEEE Computer Society. 2014. p. 25-28. 6884566. (IEEE Workshop on Statistical Signal Processing Proceedings). https://doi.org/10.1109/SSP.2014.6884566
Varshney, Kush R. ; Varshney, Lav R. / Active odor cancellation. 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014. IEEE Computer Society, 2014. pp. 25-28 (IEEE Workshop on Statistical Signal Processing Proceedings).
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