RESEARCH, DEVELOPMENT & SIGNAL PROCESSING

I'm a Ph.D. student at the University of Pennsylvania.
My research interests span signal processing, optimization, and statistics.
I also develop electronic systems for sensing and signal processing applications.

SELECTED PUBLICATIONS

  • L.F.O. Chamon, Y.C. Eldar, and A. Ribeiro, "Strong duality of sparse functional optimization". ICASSP 2018.
  • L.F.O. Chamon and A. Ribeiro, "Approximate supermodularity bounds for experimental design". NIPS 2017.
  • L.F.O. Chamon, G. Pappas, and A. Ribeiro, "The mean square error in Kalman filtering sensor selection is approximately supermodular". CDC 2017.
  • L.F.O. Chamon and A. Ribeiro, "Greedy sampling of graph signals". IEEE TSP 2018

FEATURED PROJECTS

  • Combinations of AFs Combinations of adaptive filters
    A study on combining adaptive filters to improve performance and/or reduce complexity.
  • AFTBX AFTBX
    A MATLAB toolbox for simulating adaptive filters up to 10 times faster.

NEWS

  • April 6th, 2018 — MSR blog featured our NSDI 2018 paper "007: Democratically finding the cause of packet drops".
  • February 16th, 2018 — Check out "Strong duality of sparse functional optimization" at ICASSP 2018.
  • January 4th, 2018 — "Greedy sampling of graph signals" published on IEEE TSP (also on arXiv).
  • November 5th, 2017 — Check out "Approximate supermodularity bounds for experimental design" at NIPS 2017.
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CONFERENCE DEADLINES