Compressed channel sensing: A new approach to estimating sparse multipath channels WU Bajwa, J Haupt, AM Sayeed, R Nowak Proceedings of the IEEE 98 (6), 1058-1076, 2010 | 996 | 2010 |

Compressed sensing for networked data J Haupt, WU Bajwa, M Rabbat, R Nowak IEEE Signal Processing Mag. 25 (2), 92-101, 2008 | 598 | 2008 |

Toeplitz compressed sensing matrices with applications to sparse channel estimation J Haupt, WU Bajwa, G Raz, R Nowak IEEE Trans. Inform. Theory 56 (11), 5862-5875, 2010 | 478 | 2010 |

Compressive wireless sensing WU Bajwa, J Haupt, A Sayeed, R Nowak Proc. 5th Int. Conf. Information Processing in Sensor Networks (IPSN'06 …, 2006 | 435 | 2006 |

Toeplitz-structured compressed sensing matrices WU Bajwa, JD Haupt, GM Raz, SJ Wright, RD Nowak Proc. 14th IEEE/SP Workshop Statistical Signal Processing (SSP'07), 294-298, 2007 | 389 | 2007 |

Compressed channel sensing WU Bajwa, J Haupt, G Raz, R Nowak Proc. 42nd Annu. Conf. Information Sciences and Systems (CISS’08), 5-10, 2008 | 270 | 2008 |

Joint source–channel communication for distributed estimation in sensor networks WU Bajwa, J Haupt, A Sayeed, R Nowak IEEE Trans. Inform. Theory 53 (10), 3629-3653, 2007 | 192 | 2007 |

Identification of parametric underspread linear systems and super-resolution radar WU Bajwa, K Gedalyahu, Y Eldar IEEE Trans. Signal Processing 59 (6), 2548-2561, 2011 | 124 | 2011 |

Why Gabor frames? Two fundamental measures of coherence and their role in model selection WU Bajwa, R Calderbank, S Jafarpour J. Commun. Netw. 12 (4), 289-307, 2010 | 104 | 2010 |

Learning sparse doubly-selective channels WU Bajwa, AM Sayeed, R Nowak Proc. 46th Annu. Allerton Conf. Communication, Control, and Computing, 575-582, 2008 | 94 | 2008 |

Sparse multipath channels: Modeling and estimation WU Bajwa, A Sayeed, R Nowak Proc. 13th IEEE Digital Signal Processing Workshop, 320-325, 2009 | 91 | 2009 |

Matched source-channel communication for field estimation in wireless sensor networks WU Bajwa, A Sayeed, R Nowak Proc. 4th Intl. Conf. Information Processing in Sensor Networks (IPSN’05 …, 2005 | 73 | 2005 |

Asynchronous code-division random access using convex optimization L Applebaum, WU Bajwa, MF Duarte, R Calderbank Physical Communication 5 (2), 129-147, 2012 | 70 | 2012 |

Two are better than one: Fundamental parameters of frame coherence WU Bajwa, R Calderbank, DG Mixon Appl. Comput. Harmon. Anal. 33 (1), 58-78, 2012 | 68 | 2012 |

MIMO-MC radar: A MIMO radar approach based on matrix completion S Sun, WU Bajwa, AP Petropulu IEEE Trans. Aerosp. Electron. Syst. 51 (3), 1839-1852, 2015 | 53 | 2015 |

Cloud K-SVD: A collaborative dictionary learning algorithm for big, distributed data H Raja, WU Bajwa IEEE Trans. Signal Processing 64 (1), 173-188, 2016 | 51 | 2016 |

Compressed sensing of wireless channels in time, frequency, and space WU Bajwa, A Sayeed, R Nowak Proc. 42nd Asilomar Conf. Signals, Systems, and Computers, 2048-2052, 2008 | 49 | 2008 |

Posterior consistency in linear models under shrinkage priors A Armagan, DB Dunson, J Lee, WU Bajwa, N Strawn Biometrika 100 (4), 1011-1018, 2013 | 48 | 2013 |

Conditioning of random block subdictionaries with applications to block-sparse recovery and regression WU Bajwa, MF Duarte, R Calderbank IEEE Trans. Inform. Theory 61 (7), 4060-4079, 2015 | 40* | 2015 |

New information processing theory and methods for exploiting sparsity in wireless systems WU Bajwa University of Wisconsin-Madison, 2009 | 38 | 2009 |