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[14] Bertrand (J.) et Bertrand (P.). – A class of affine Wigner distributions with extended covarianceproperties. J. Math. Phys., vol. 33, n˚ 7, 1992, pp. 2515–2527.[15] Boudreaux-Bartels (G.). – Mixed time-frequency signal transformations. In : The Transformsand Applications Handbook,éd. par Poularikas (A. D). – CRC Press Inc., 1996.[16] Bouruet-Aubertot (P.), Sommeria (J.) et Staquet (C.). – Breaking of standing internal gravitywaves through two-dimensional instabilities. J. Fluid Mech., no285, 1995, pp. 265–301.[17] Broman (H.). – he instantaneous frequency of a gaussian signal: the one-dimensional densityfunction. IEEE Trans. on Acoust., Speech, and Signal Proc., vol. ASSP-29, n˚ 1, 1981, pp. 103–111.[18] Carmona (R. A.), Hwang (W. L.) et Torrésani (B.). – Multi-ridge detection and time-frequencyreconstruction. – To appear in IEEE Trans. on Signal Proc.[19] Carmona (R. A.), Hwang (W. L.) et Torrésani (B.). – Identification of chirps with continuouswavelet transform. In : Wavelets and Statistics, éd. par Anatoniadis (A.) et Oppenheim (G.). –Springer Verlag, 1995.[20] Carmona (R. A.), Hwang (W.L.) et Torrésani (B.). – Characterization of signals by the ridges oftheir wavelet transforms. IEEE Trans. Signal Proc., vol. SP-45, n˚ 10, 1997, pp. 2586–2590.[21] Chassande-Mottin (E.), Auger (F.), Daubechies (I.) et Flandrin (P.). – Partition du plan tempsfréquenceet réallocation. In : Proc. 16ème Colloque GRETSI, pp. 1447–1450. – Grenoble,France, 1997.[22] Chassande-Mottin (E.), Auger (F.) et Flandrin (P.). – Statistiques des vecteurs de réallocationdu spectrogramme. – Rapport technique n˚ 96-01, Lyon, Laboratoire de Physique, ENS-Lyon(URA 1325 CNRS), 1996.[23] Chassande-Mottin (E.), Auger (F.) et Flandrin (P.). – On the statistics of spectrogram reassignment.Multidim. Syst. and Signal Proc., 1998. – Accepté.[24] Chassande-Mottin (E.), Daubechies (I.), Auger (F.) et Flandrin (P.). – Differential reassignment.IEEE Signal Proc. Lett., vol.SPL-4,n˚ 10, 1997, pp. 293–294.[25] Chassande-Mottin (E.) et Flandrin (P.). – On the time-frequency detection of chirps and itsapplication to gravitational waves. In : Proc. of the Second Workshop on Grav. Waves DataAnalysis. – Orsay, France, 1997.[26] Chassande-Mottin (E.) et Flandrin (P.). – On the stationary phase approximation of chirp spectra.In : Proc. of the IEEE Int. Symp. on Time-Frequency and Time-Scale Analysis. – Pittsburg, 1998.Accepté.[27] Chassande-Mottin (E.) et Flandrin (P.). – On the time-frequency detection of chirps. Appl. Comp.Harm. Anal., 1998. – Accepté.[28] Cohen (L.). – Time-frequency analysis. – Englewoods Cliffs (NJ), Prentice Hall, 1995.[29] Daubechies (I.). – Ten Lectures on Wavelets. – Philadelphia, SIAM, 1992.170
[30] Daubechies (I.) et Maes (S.). – A nonlinear squeezing of the continuous wavelet transform basedon auditory nerve models. In : Wavelets in Medicine and Biology,éd. par Aldroubi (A.) et Unser(M.). – CRC Press Inc., 1996.[31] Dechambre (M.) et Lavergnat (J.). – Statistical properties of the instantaneaous frequency for anoisy signal. Sig. Proc., vol. 2, 1980, pp. 137–150.[32] Delprat (N.). – Analyse Temps-fréquence de sons musicaux : exploration d’une nouvelle méthoded’extraction de données pertinentes pour un modèle de synthèse.–ThèsedeDoctorat,Universitéd’Aix-Marseille II, 1992.[33] Delprat (N.), Escudié (B.), Guillemain (P.), Kronland-Martinet (R.), Tchamitchian (P.) et Torrésani(B.). – Asymptotic wavelet and Gabor analysis : extraction of instantaneous frequencies.IEEE Trans. on Info. Theory, vol. IT-38, n˚ 2, 1992, pp. 644–673.[34] Duchêne (J.) et Devedeux (D.). – Time-frequency distributions applied to uterine emg: characterizationand assessment. In : Time-Frequency and Wavelets in Biomedical signal processing,éd.par Akay (M.), pp. 117–146. – IEEE Press, 1997.[35] Escudié (B.) et Grea (J.). – Sur une formulation générale de la représentation en temps et fréquencedans l’analyse des signaux d’énergie finie. C. R. Acad. Sc. Paris, série A, vol. 283, 1976,pp. 1049–1051.[36] Finn (L. S.) et Chernoff (D. F.). – Observing binary inspiral in gravitational radiation: Oneinterferometer. Phys. Rev. D, vol. 47, n˚ 6, 1993, pp. 2198–2219.[37] Flandrin (P.). – On detection-estimation procedures in the time-frequency plane. In : Proc. ofthe IEEE Int. Conf. on Acoust., Speech, and Signal Proc., pp. 2331–2334. – Tokyo, 1986.[38] Flandrin (P.). – A time-frequency formulation of optimum detection. IEEE Trans. on Acoust.,Speech, and Signal Proc., vol. ASSP-36, n˚ 9, 1988, pp. 1377–1384.[39] Flandrin (P.). – Temps-Fréquence. – Paris, Hermès, 1998, seconde édition.[40] Flandrin (P.) et Chassande-Mottin (E.). – Sur la réallocation des scalogrammes. In : Proc. 15èmeColloque GRETSI, pp. 309–312. – Juan-Les-Pins, France, 1995.[41] Flandrin (P.), Chassande-Mottin (E.) et Abry (P.). – Reassigned scalograms and their fast algorithms.In : Proc. SPIE – Wavelet Appl. in Signal and Image Proc., pp. 152–158. – San Diego,CA, 1995.[42] Flandrin (P.) et Gonçalvès (P.). – From wavelets to time-scale energy distributions. In : RecentAdvances in Wavelet Analysis,éd. par Schumaker (L. L.) et Webb (G.), pp. 309–334. – AcademicPress, 1994.[43] Friedman (D.). – Instantaneous frequency distribution vs. time : An interpretation of the phasestructure of speech. In : Proc. of the IEEE Int. Conf. on Acoust., Speech, and Signal Proc., pp.1121–1124. – Tampa, FL, 1985.[44] Ghitza (O.). – Auditory models and human performances in tasks related to speech coding andspeech recognition. IEEE Trans. Speech Audio Proc.,vol.2,n˚ 1, 1994, pp. 115–132.171
Page 4: Remarquons que, par construction, u
Page 7 and 8: 4.3.2 Détection temps-fréquenceAi
Page 9 and 10: On en déduit que la détection opt
Page 11 and 12: Proposition 5. Une distribution de
Page 13 and 14: où K 0 () est la fonction de Besse
Page 15 and 16: où r est la distance terre-binaire
Page 17 and 18: Preuve. Le calcul du spectre de Fou
Page 19 and 20: avecEn effet, si nous revenons à (
Page 21 and 22: Quand l’approximation ci-dessus e
Page 23 and 24: 1(a) − sortie du detecteur1(b)
Page 25 and 26: x 10 421.510.503.532.5chirp mass21.
Page 27 and 28: ConclusionPour conclure, nous feron
Page 29 and 30: AnnexesASimplifications des opérat
Page 31 and 32: BSimplifications des opérateurs de
Page 33 and 34: CDensité de probabilité des vecte
Page 35 and 36: quelle est la densité conjointe de
Page 37 and 38: DLaméthode de la phase stationnair
Page 39 and 40: Pas de point stationnaire et quasi-
Page 41 and 42: 21.51β0.50-0.5-1-2 -1.5 -1 -0.5 0
Page 43: 0(o) alpha = 0.01 ; beta = 0.5 ; d
Page 48 and 49: [45] Gibiat (V.), Jardin (P.) et Wu
Page 50 and 51: [78] Mohanty (S. D.) et Dhurandhar

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