Nadine Martin
Nadine Martin
Senior researcher CNRS
Verified email at - Homepage
Cited by
Cited by
Spectrogram segmentation by means of statistical features for non-stationary signal interpretation
C Hory, N Martin, A Chehikian
IEEE Transactions on Signal Processing 50 (12), 2915-2925, 2002
Circularity of the STFT and spectral kurtosis for time-frequency segmentation in Gaussian environment
F Millioz, N Martin
IEEE Transactions on Signal Processing 59 (2), 515-524, 2010
Sample-based engine noise synthesis using an enhanced pitch-synchronous overlap-and-add method
J Jagla, J Maillard, N Martin
The Journal of the Acoustical Society of America 132 (5), 3098-3108, 2012
Time-frequency tracking of spectral structures estimated by a data-driven method
T Gerber, N Martin, C Mailhes
IEEE Transactions on Industrial Electronics 62 (10), 6616-6626, 2015
Parametric representation of multichannel audio based on principal component analysis
M Briand, D Virette, N Martin
120th AES Convention, 13 p., 2006
On the description of spectrogram probabilities with a chi-squared law
J Huillery, F Millioz, N Martin
IEEE Transactions on Signal Processing 56 (6), 2249-2258, 2008
Three-component signal recognition using time, time-frequency, and polarization information-application to seismic detection of avalanches
B Leprettre, N Martin, F Glangeaud, JP Navarre
IEEE Transactions on Signal Processing 46 (1), 83-102, 1998
Estimation of the instantaneous amplitude and frequency of non-stationary short-time signals
M Jabloun, N Martin, F Leonard, M Vieira
Signal processing 88 (7), 1636-1655, 2008
Extraction of pertinent subsets from time–frequency representations for detection and recognition purposes
B Leprettre, N Martin
Signal Processing 82 (2), 229-238, 2002
Time—frequency and time-scale analysis of Barkhausen noise signals
LR Padovese, N Martin, F Millioz
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2009
A new flexible approach to estimate the IA and IF of nonstationary signals of long-time duration
M Jabloun, F Leonard, M Vieira, N Martin
IEEE Transactions on Signal Processing 55 (7), 3633-3644, 2007
Automatic characteristic frequency association and all-sideband demodulation for the detection of a bearing fault
M Firla, ZY Li, N Martin, C Pachaud, T Barszcz
Mechanical Systems and Signal Processing 80, 335-348, 2016
A procedure of vibration analysis from planetary gearbox under non-stationary cyclic operations by instantaneous frequency estimation in time-frequency domain
R Zimroz, F Millioz, N Martin
CM 2010-MFPT 2010-7th International Conference on Condition Monitoring and …, 2010
Time-frequency segmentation for engine speed monitoring
F Millioz, N Martin
Thirteen International Congress on Sound and Vibration, ICSV13, -, 2006
Short time Fourier transform probability distribution for time-frequency segmentation
F Millioz, J Huillery, N Martin
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
Estimation of a white Gaussian noise in the Short Time Fourier Transform based on the spectral kurtosis of the minimal statistics: Application to underwater noise
F Millioz, N Martin
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Close shock detection using time–frequency Prony modeling
N Martin, P Jaussaud, F Combet
Mechanical Systems and Signal Processing 18 (2), 235-261, 2004
Temps-fréquence pour l’identification des caractéristiques dynamiques d’un pylône de téléphérique
L Padovese, N Martin, JM Terriez
Traitement du signal 13 (3), 209-223, 1996
Amplitude and phase interaction in Hilbert demodulation of vibration signals: Natural gear wear modeling and time tracking for condition monitoring
X Laval, C Mailhes, N Martin, P Bellemain, C Pachaud
Mechanical Systems and Signal Processing 150, 107321, 2021
Maximum likelihood noise estimation for spectrogram segmentation control
C Hory, N Martin
2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002
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