Discrete-time blind deconvolution for distributed parameter systems with dirichlet boundary input and unbounded output with application to a transdermal alcohol biosensor

I. G. Rosen, S. E. Luczak, W. W. Hu, M. Hankin

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

8 Scopus citations

Abstract

A scheme for the blind deconvolution of blood or breath alcohol concentration from biosensor measured transdermal alcohol concentration based on a parabolic PDE with Dirichlet boundary input and point-wise boundary output is developed. The estimation of the convolution filter corresponding to a particular patient and device is formulated as a nonlinear least squares fit to data. The deconvolution is then formulated as a regularized linear-quadratic programming problem. Numerical results involving patient data are presented.

Original languageEnglish (US)
Title of host publicationSIAM Conference on Control and Its Applications 2013
EditorsFariba Fahroo, Wei Kang, Qing Zhang
PublisherSociety for Industrial and Applied Mathematics Publications
Pages160-167
Number of pages8
ISBN (Electronic)9781510813298
DOIs
StatePublished - 2013
EventSIAM Conference on Control and Its Applications 2013 - San Diego, United States
Duration: Jul 8 2013Jul 10 2013

Publication series

NameSIAM Conference on Control and Its Applications 2013

Other

OtherSIAM Conference on Control and Its Applications 2013
CountryUnited States
CitySan Diego
Period7/8/137/10/13

Fingerprint Dive into the research topics of 'Discrete-time blind deconvolution for distributed parameter systems with dirichlet boundary input and unbounded output with application to a transdermal alcohol biosensor'. Together they form a unique fingerprint.

Cite this