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Nadine Martin
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2010 – 2019
- 2018
- [j15]Nadine Martin, Corinne Mailhes:
Automatic data-driven spectral analysis based on a multi-estimator approach. Signal Process. 146: 112-125 (2018) - 2016
- [j14]Zhongyang Li, Nadine Martin:
A Time-Frequency Based Method for the Detection and Tracking of Multiple Non-Linearly Modulated Components With Births and Deaths. IEEE Trans. Signal Process. 64(5): 1132-1146 (2016) - 2015
- [j13]Timothée Gerber, Nadine Martin, Corinne Mailhes:
Time-Frequency Tracking of Spectral Structures Estimated by a Data-Driven Method. IEEE Trans. Ind. Electron. 62(10): 6616-6626 (2015) - 2014
- [j12]Julien Huillery, Fabien Millioz, Nadine Martin:
Gaussian Noise Time-Varying Power Spectrum Estimation With Minimal Statistics. IEEE Trans. Signal Process. 62(22): 5892-5906 (2014) - 2013
- [j11]Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin:
A Smooth Transition Model for Multiple-Regime Time Series. IEEE Trans. Signal Process. 61(7): 1835-1847 (2013) - [c19]Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin:
Hierarchical Bayesian learning for electrical transient classification. ICASSP 2013: 3442-3446 - 2012
- [c18]Jan Jagla, Julien Maillard, Nadine Martin:
Sample-based engine noise synthesis using a harmonic synchronous overlap-and-add method. ICASSP 2012: 373-376 - 2011
- [j10]Fabien Millioz, Nadine Martin:
Circularity of the STFT and Spectral Kurtosis for Time-Frequency Segmentation in Gaussian Environment. IEEE Trans. Signal Process. 59(2): 515-524 (2011) - [c17]Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin:
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models. ICASSP 2011: 3960-3963 - 2010
- [c16]Fabien Millioz, Nadine Martin:
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. ICASSP 2010: 5638-5641
2000 – 2009
- 2008
- [j9]Meryem Jabloun, Nadine Martin, François Léonard, Michelle Vieira:
Estimation of the instantaneous amplitude and frequency of non-stationary short-time signals. Signal Process. 88(7): 1636-1655 (2008) - [j8]Julien Huillery, Fabien Millioz, Nadine Martin:
On the Description of Spectrogram Probabilities With a Chi-Squared Law. IEEE Trans. Signal Process. 56(6): 2249-2258 (2008) - 2007
- [j7]Meryem Jabloun, François Léonard, Michelle Vieira, Nadine Martin:
A New Flexible Approach to Estimate the IA and IF of Nonstationary Signals of Long-Time Duration. IEEE Trans. Signal Process. 55(7-2): 3633-3644 (2007) - 2006
- [c15]Corinne Mailhes, Nadine Martin, Kheira Sahli, Gerard Lejeune:
A spectral identity card. EUSIPCO 2006: 1-5 - [c14]Julien Huillery, Fabien Millioz, Nadine Martin:
On the Probability Distributions of Spectrogram Coefficients for Correlated Gaussian Process. ICASSP (3) 2006: 436-439 - [c13]Fabien Millioz, Julien Huillery, Nadine Martin:
Short Time Fourier Transform Probability Distribution for Time-Frequency Segmentation. ICASSP (3) 2006: 448-451 - 2005
- [c12]Meryem Jabloun, Nadine Martin, Michelle Vieira, François Léonard:
Multicomponent signal: Local analysis and estimation. EUSIPCO 2005: 1-4 - 2004
- [c11]Michelle Vieira, François Léonard, Meryem Jabloun, Nadine Martin:
Short time single polynomial phase signal using legendre function. EUSIPCO 2004: 793-796 - 2002
- [j6]Benoit Leprettre, Nadine Martin:
Extraction of pertinent subsets from time-frequency representations for detection and recognition purposes. Signal Process. 82(2): 229-238 (2002) - [j5]Cyril Hory, Nadine Martin, Alain Chéhikian:
Spectrogram segmentation by means of statistical features for non-stationary signal interpretation. IEEE Trans. Signal Process. 50(12): 2915-2925 (2002) - [c10]Francois Combet, Nadine Martin, Pierre Jaussaud:
Recovery of a high shock probability process using blind deconvolution. EUSIPCO 2002: 1-4 - [c9]Cyril Hory, Nadine Martin:
Mixture densities formulation of a spectrogram segmentation task. EUSIPCO 2002: 1-4 - [c8]Cyril Hory, Nadine Martin:
Maximum likelihood noise estimation for spectrogram segmentation control. ICASSP 2002: 1581-1584 - 2000
- [j4]Matthieu Durnerin, Nadine Martin:
Minimum variance filters and mixed spectrum estimation. Signal Process. 80(12): 2597-2608 (2000) - [c7]Hélène Cottereau, Manuel Davy, Christian Doncarli, Nadine Martin:
Using ARCAP time-frequency representations for decision. EUSIPCO 2000: 1-4 - [c6]Cyril Hory, Nadine Martin, Alain Chéhikian, Lars Erik Solberg:
Time-frequency space characterization based on statistical criterions. EUSIPCO 2000: 1-4 - [c5]Nadine Martin, Eleanor M. Saffran, Gary S. Dell, Myrna F. Schwartz, Prahlad Gupta:
Neuropsychological and computational evidence for a model of lexical processing, verbal short-term memory and learning. INTERSPEECH 2000: 20-25
1990 – 1999
- 1998
- [j3]Benoit Leprettre, Nadine Martin, F. Glangeaud, J.-P. Navarre:
Three-component signal recognition using time, time-frequency, and polarization information-application to seismic detection of avalanches. IEEE Trans. Signal Process. 46(1): 83-102 (1998) - [c4]Manuel Davy, Benoit Leprettre, Christian Doncarli, Nadine Martin:
Tracking of spectral lines in an ARCAP time-frequency representation. EUSIPCO 1998: 1-4 - 1995
- [j2]Nadine Martin, Jérôme I. Mars, Jacques Martin, Cecile Chorier:
A Capon's time-octave representation application in room acoustics. IEEE Trans. Signal Process. 43(8): 1842-1854 (1995) - 1992
- [j1]Jérôme I. Mars, Nadine Martin, Jean-Louis Lacoume, M. Dubesset:
Analysis of signals over short time-windows. Signal Process. 26(2): 147-159 (1992)
1980 – 1989
- 1987
- [c3]M. A. Pallas, Nadine Martin, J. Martin:
Time delay estimation by autoregressive modelization. ICASSP 1987: 455-458 - 1982
- [c2]F. Glangeaud, Mohamed Gharbi, Nadine Martin, Jean-Louis Lacoume:
Use of multidimentional MEM spectral analysis in geophysics. ICASSP 1982: 1886-1889 - [c1]J. P. Benoist, F. Glangeaud, Nadine Martin, Jean-Louis Lacoume, C. Lorius, A. Ait Ouahman:
Study of climatic series by time-frequency analysis. ICASSP 1982: 1902-1905
Coauthor Index
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