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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mileounis, Gerasimos Babadi, Behtash Kalouptsidis, Nicholas Tarokh, Vahid |
| Copyright Year | 2010 |
| Description | Author affiliation: Dept. of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece (Mileounis, Gerasimos; Kalouptsidis, Nicholas) || School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA (Babadi, Behtash; Tarokh, Vahid) |
| 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 a powerful greedy scheme developed in [1, 2] is converted into an adaptive algorithm which is applied to estimation of nonlinear channels. Performance is assessed via computer simulations on a variety of linear and nonlinear channels; all confirm significant improvements over conventional methods. |
| Starting Page | 3810 |
| Ending Page | 3813 |
| File Size | 213613 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424442959 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2010.5495838 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Matching pursuit algorithms Least squares approximation Greedy algorithms Signal processing algorithms Complexity theory Channel estimation Approximation algorithms Compressed sensing Adaptive filters ARMA processes Nonlinear systems |
| Content Type | Text |
| Resource Type | Article |
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