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 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, 2017 (accepted).
  • D. Lamb, L.F.O. Chamon, and V.H. Nascimento, "An efficient filtering structure for spline interpolation and decimation". IET Electronics Letters, 2015.

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

  • September 21st, 2017 — Final version of "Greedy sampling of graph signals" accepted in IEEE TSP is on arXiv.
  • September 4th, 2017 — "Approximate supermodularity bounds for experimental design" accepted at NIPS 2017.
  • September 30th, 2017 — "The mean square error in Kalman filtering sensor selection is approximately supermodular" accepted at CDC .
  •  

CONFERENCE DEADLINES