P. Flandrin, Time-Frequency/Time-Scale Analysis

H. Laurent and C. Doncarli, Stationarity index for abrupt changes detection in the time-frequency plane, IEEE Signal Processing Letters, vol.5, issue.2, pp.43-45, 1998.
DOI : 10.1109/97.659547

W. Martin, Measuring the degree of non-stationarity by using the Wigner-Ville spectrum, ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.41-44, 1984.
DOI : 10.1109/ICASSP.1984.1172740

W. Martin and P. Flandrin, Detection of changes of signal structure by using the Wigner-Ville spectrum, Signal Processing, vol.8, issue.2, pp.215-233, 1985.
DOI : 10.1016/0165-1684(85)90075-1

M. Bayram and R. G. Baraniuk, Multiple window time-varying spectrum estimation, Nonlinear and Nonstationary Signal Processing, pp.292-316, 2000.

J. Xiao and P. Flandrin, Multitaper Time-Frequency Reassignment for Nonstationary Spectrum Estimation and Chirp Enhancement, IEEE Transactions on Signal Processing, vol.55, issue.6, pp.2851-2860, 2007.
DOI : 10.1109/TSP.2007.893961

URL : https://hal.archives-ouvertes.fr/ensl-00111665

J. Theiler, Testing for nonlinearity in time series: the method of surrogate data, Physica D: Nonlinear Phenomena, vol.58, issue.1-4, pp.77-94, 1992.
DOI : 10.1016/0167-2789(92)90102-S

T. Schreiber and A. Schmitz, Improved Surrogate Data for Nonlinearity Tests, Physical Review Letters, vol.77, issue.4, pp.635-638, 1996.
DOI : 10.1103/PhysRevLett.77.635

J. Xiao, P. Borgnat, and P. Flandrin, Testing stationarity with time-frequency surrogates, Proc. EUSIPCO-07, 2007.
URL : https://hal.archives-ouvertes.fr/ensl-00175965

J. Xiao, P. Borgnat, P. Flandrin, and C. Richard, Testing Stationarity with Surrogates - A One-Class SVM Approach, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 2007.
DOI : 10.1109/SSP.2007.4301353

URL : https://hal.archives-ouvertes.fr/ensl-00175481

B. Schölkopf and A. J. Smola, Learning With Kernels : Support Vector Machines, Regularization, Optimization and Beyond, 2001.