Adaptive Greedy Algorithm With Application to Nonlinear Communications

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Adaptive Greedy Algorithm With Application to Nonlinear Communications

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dc.contributor.author Tarokh, Vahid
dc.contributor.author Mileounis, Garasimos
dc.contributor.author Babadi, Behtash
dc.contributor.author Kalouptsidis, Nicholas
dc.date.accessioned 2011-01-26T14:31:27Z
dc.date.issued 2010
dc.identifier.citation Mileounis, Garasimos, Behtash Babadi, Nicholas Kalouptsidis, and Vahid Tarokh. 2010. IEEE Transactions on Signal Processing 58(6): 5424024. en_US
dc.identifier.issn 1053-587X en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:4687242
dc.description.abstract Greedy algorithms form an essential tool for compressed sensing. However, their inherent batch mode discourages their use in time-varying environments due to significant complexity and storage requirements. In this paper two existing powerful greedy schemes developed in the literature are converted into an adaptive algorithm which is applied to estimation of a class of nonlinear communication systems. Performance is assessed via computer simulations on a variety of linear and nonlinear channels; all confirm significant improvements over conventional methods. en_US
dc.description.sponsorship Engineering and Applied Sciences en_US
dc.language.iso en_US en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.relation.isversionof http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5424024 en_US
dash.license OAP
dc.subject adaptive filters en_US
dc.subject ARMA processes en_US
dc.subject compressed sensing en_US
dc.subject equalizers en_US
dc.subject nonlinear systems en_US
dc.title Adaptive Greedy Algorithm With Application to Nonlinear Communications en_US
dc.type Journal Article en_US
dc.description.version Accepted Manuscript en_US
dc.relation.journal IEEE Transactions on Signal Processing en_US
dash.depositing.author Tarokh, Vahid
dc.date.available 2011-01-26T14:31:27Z

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  • FAS Scholarly Articles [7262]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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