Peer-reviewed journal articles indexed in international databases

  1. Pierre Borgnat, Patrick Flandrin, Paul Honeine, Cédric Richard, Jun Xiao,
    Testing Stationarity with Surrogates: A Time-Frequency Approach.
    IEEE Transactions on Signal Processing 58(7), 3459–3470.
    IEEE, 2010.

Unindexed peer-reviewed journal articles

  1. Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramirez-Cobo,
    Stationnarité relative et approches connexes.
    Traitement du signal 28(6), 691–716.
    Lavoisier, 2011.

Invited conference talks

  1. Patrick Flandrin, Pierre Borgnat, Azadeh Moghtaderi, Cédric Richard, Paul Honeine, Hassan Amoud, Pierre-Olivier Amblard, Pepa Ramirez-Cobo,
    StaRAC : Stationnarité Relative et Approches Connexes.
    Grand Colloque STIC 2010.
    2010.

Proceedings articles indexed in international databases

  1. Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat,
    Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
    Proc. 35th IEEE International Conference on Acoustics, Speech and Signal Processing, 3666–3669.
    IEEE, 2010.
  2. Hassan Amoud, Paul Honeine, Cédric Richard, Pierre Borgnat, Patrick Flandrin,
    Time-Frequency Learning Machines For Nonstationarity Detection Using Surrogates.
    Proc. IEEE workshop on Statistical Signal Processing, 565–568.
    IEEE, 2009.

Unindexed proceedings articles

  1. Hassan Amoud, Cédric Richard, Paul Honeine, Patrick Flandrin, Pierre Borgnat,
    Sur la caractérisation de non-stationnarités par la méthode des substituts.
    Actes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2009.

Scientific books (or chapters)

  1. Pierre Borgnat, Patrick Flandrin, Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine,
    Time-frequency learning machines for nonstationarity detection using surrogates.
    Advances in Machine Learning and Data Mining for Astronomy, In Eds. M. Way, J. Scargle, K. Ali, and A. Srivastava, 487–503.
    Chapman and Hall / CRC Press (Taylor and Francis), 2012.