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Convexity in Source Separation: Models, geometry, and algorithms

McCoy, Michael B. and Cevher, Volkan and Dinh, Quoc Tran and Asaei, Afsaneh and Baldassarre, Luca (2014) Convexity in Source Separation: Models, geometry, and algorithms. IEEE Signal Processing Magazine, 31 (3). pp. 87-95. ISSN 1053-5888. https://resolver.caltech.edu/CaltechAUTHORS:20140603-135757266

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Abstract

Source separation, or demixing, is the process of extracting multiple components entangled within a signal. Contemporary signal processing presents a host of difficult source separation problems, from interference cancellation to background subtraction, blind deconvolution, and even dictionary learning. Despite the recent progress in each of these applications, advances in high-throughput sensor technology place demixing algorithms under pressure to accommodate extremely high-dimensional signals, separate an ever larger number of sources, and cope with more sophisticated signal and mixing models. These difficulties are exacerbated by the need for real-time action in automated decision-making systems.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6784106PublisherArticle
http://dx.doi.org/10.1109/MSP.2013.2296605DOIArticle
http://arxiv.org/abs/1311.0258arXivDiscussion Paper
Additional Information:© 2014 IEEE. Date of Current Version: 07 April 2014. The authors thank Joel A. Tropp for his helpful and detailed comments on this work. MBM is supported by ONR awards N00014-08-1-0883 and N00014-11-1002, AFOSR award FA9550-09-1-064. Work of VC, QTD, and LB is supported in part by the European Commission under Grant MIRG-268398, ERC Future Proof, SNF 200021-132548, SNF 200021-146750 and SNF CRSII2-147633. The work of AA is funded by SNF NCCR IM2.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-08-1-0883
Office of Naval Research (ONR)N00014-11-1002
Air Force Office of Scientific Research (AFOSR)FA9550-09-1-0643
European CommissionMIRG-268398
SNF200021-132548
SNF200021-146750
SNFCRSII2-147633
SNFNCCR IM2
Issue or Number:3
Record Number:CaltechAUTHORS:20140603-135757266
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20140603-135757266
Official Citation:McCoy, M.; Cevher, V.; Dinh, Q.; Asaei, A.; Baldassarre, L., "Convexity in Source Separation : Models, geometry, and algorithms," Signal Processing Magazine, IEEE , vol.31, no.3, pp.87,95, May 2014 doi: 10.1109/MSP.2013.2296605
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:46053
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:03 Jun 2014 21:47
Last Modified:03 Oct 2019 06:40

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