Galen Reeves

Image of Galen Reeves

Assistant Professor in the Department of Electrical and Computer Engineering

Appointments and Affiliations
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Professor in the Department of Statistical Science
Contact Information:
  • Office Phone: (919) 668-4042
  • Email Address: galen.reeves@duke.edu
  • Web Page:
Education:

  • Ph.D. University of California at Berkeley, 2011

Awards, Honors, and Distinctions:

    Courses Taught:
    • ECE 587: Information Theory
    • ECE 899: Special Readings in Electrical Engineering
    • STA 563: Information Theory
    • STA 790: Special Topics in Statistics

    Representative Publications: (More Publications)
      • Reeves, G, The fundamental limits of stable recovery in compressed sensing (2014), pp. 3017-3021 [10.1109/ISIT.2014.6875388] [abs].
      • Donoho, D; Reeves, G, Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown (2013), pp. 101-105 [10.1109/ISIT.2013.6620196] [abs].
      • Reeves, G; Donoho, D, The minimax noise sensitivity in compressed sensing (2013), pp. 116-120 [10.1109/ISIT.2013.6620199] [abs].
      • Reeves, G; Gastpar, MC, Approximate sparsity pattern recovery: Information-theoretic lower bounds, IEEE Transactions on Information Theory, vol 59 no. 6 (2013), pp. 3451-3465 [10.1109/TIT.2013.2253852] [abs].
      • Reeves, G, Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 (2013), pp. 17-20 [10.1109/CAMSAP.2013.6713996] [abs].