Marta Martinez Camara

Audiovisual Communications Laboratory (LCAV )
School of Computer and Communication Sciences (IC)
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Office: BC 320
Phone: +41 (0)21 69 37663
Fax: +41 (0)21 693 4312
Address: EPFL – I&C – LCAV
BC 320 (Building BC)
Station 14
1015 Lausanne, Switzerland




 M.Sc.  Telecommunications Engineering, Universidad Politécnica de Madrid, 2010.

 Prof.Dg.  Saxophone, Conservatorio Profesional de Musica de Amaniel, Madrid, 2010.


Research Interests

  • Inverse problems in environmental sciences. I am working on how to estimate emissions to the atmosphere using spatio-temporal measurements. Some examples of this problem are the estimation of emissions of radioactive substances during an accident in a nuclear power plant, or the estimation of emissions of CO2.
  • Robust estimators for linear regression problems. Working with real environmental data led me to robust estimation. The world always surprises us; that is why outliers appear, and that is why we need to design robust estimators.



  • Audio Signal Processing and Virtual Acoustics (2014/2015)
  • Signal Processing for Communications (2011/2012, 2012/2013, 2013/2014, 2014/2015)
  • Statistical Neurosciences (2011/2012)






R. N. Latty : Guessing the fingerings ; 2017.
M. Martinez-Camara / M. Vetterli; B. Bejar Haro (Dir.) : Blowing in the Wind. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7630.
M. Martinez-Camara; M. Muma; B. Bejar Haro; A. Zoubir; M. Vetterli : The regularized tau estimator: A robust and efficient solution to ill-posed linear inverse problems; IEEE Transactions on Signal Processing. 2017.
E. S. V. Hentgen : Defining the errors in the winds ; 2016.
G. F. P. Beaud : LinvPy : a Python package for linear inverse problems ; 2016.
M. Martinez-Camara; M. Muma; A. M. Zoubir; M. Vetterli : A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers. 2015. International Conference on Acoustics, Speech, and Signal Processing, Brisbane, Australia, 2015. p. 3422-3426.
M. Martinez-Camara; B. Bejar Haro; A. Stohl; M. Vetterli : A robust method for inverse transport modelling of atmospheric emissions using blind outlier detection; Geoscientific Model Development. 2014. DOI : 10.5194/gmd-7-2303-2014.
M. Martinez-Camara; A. Stohl; M. Vetterli : Outlier removal for improved source estimation in atmospheric inverse problems. 2014. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014. p. 6820-6824.
M. Martinez-Camara; I. Dokmanic; J. Ranieri; R. Scheibler; M. Vetterli et al. : The Fukushima Inverse Problem. 2013. 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 26-31, 2013. DOI : 10.1109/ICASSP.2013.6638477.