Adaptive Greedy Algorithm With Application to Nonlinear Communications

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Adaptive Greedy Algorithm With Application to Nonlinear Communications

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Title: Adaptive Greedy Algorithm With Application to Nonlinear Communications
Author: Tarokh, Vahid; Mileounis, Garasimos; Babadi, Behtash; Kalouptsidis, Nicholas

Note: Order does not necessarily reflect citation order of authors.

Citation: Mileounis, Garasimos, Behtash Babadi, Nicholas Kalouptsidis, and Vahid Tarokh. 2010. IEEE Transactions on Signal Processing 58(6): 5424024.
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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.
Published Version: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5424024
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4687242

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  • FAS Scholarly Articles [7495]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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