Search Results - "Glangeaud, F."

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  1. 1

    Three-component signal recognition using time, time-frequency, and polarization information-application to seismic detection of avalanches by Leprettre, B., Martin, N., Glangeaud, F., Navarre, J.-P.

    Published in IEEE transactions on signal processing (01-01-1998)
    “…A method for automatic signal recognition, applied to seismic signals classification, is presented. It is based on the fusion of data derived from the analysis…”
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    Journal Article
  2. 2

    Wave Separation. Part Two: Applications La séparation des ondes. Deuxième partie : applications by Glangeaud F., Mari J. L.

    Published in Oil & gas science and technology (01-11-2006)
    “…Identifying waves in seismic sections sometimes requires the waves to be separated. The geophysicist has a variety of complementary filters at his disposal…”
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    Journal Article
  3. 3

    Wave Separation. Part One: Principle and Methods La séparation d'ondes. Première partie : Principes et méthodes by Mari J. L., Glangeaud F.

    Published in Oil & gas science and technology (01-11-2006)
    “…This article is a practical review of the different wave separation methods used in seismic. A wave is described by its propagation vector and its wavelet. The…”
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    Journal Article
  4. 4

    Applications of autoregressive models and time–frequency analysis to the study of volcanic tremor and long-period events by Lesage, Philippe, Glangeaud, François, Mars, Jérôme

    “…Volcanic tremor and long-period (LP) events are characterized by sharp spectral peaks that generally result from resonance effects at the source and which…”
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    Journal Article
  5. 5

    Trace Pair Filtering for Separation of Upgoing and Downgoing Waves in Vsp (Vertical Seismic Profile) Filtrage à deux canaux pour la séparation des ondes montantes et descendantes en PSV (Profil Sismique Vertical) by Glangeaud F., Durand P., Mari J. L., Coppens F.

    Published in Oil & gas science and technology (01-11-2006)
    “…Most multichannel algorithms used for separation of upgoing and downgoing waves in VSPs assume depth-stationarity of the signal on all the traces used in the…”
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    Journal Article
  6. 6

    1-200 Hz wave propagation in shallow water by Nardin, M., Glangeaud, F., Mauuary, D.

    “…Underwater wave propagation is dependent on the substrata in the 1-200 Hz frequency domain. In a shallow water configuration, seismic and acoustic wave…”
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    Conference Proceeding
  7. 7

    Advanced signal processing tools for dispersive waves by Mars, J. I., Glangeaud, F., Mari, J. L.

    Published in Near surface geophysics (Online) (01-11-2004)
    “…ABSTRACT Two field examples are presented, showing the advantages of using multicomponent sensors for surface‐wave studies. Multicomponent sensors allow the…”
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    Journal Article
  8. 8

    Spectral Matrix Filtering Applied to Vsp Processing Application du filtrage matriciel au traitement des profils sismiques verticaux by Glangeaud F., Mari J. L.

    Published in Oil & gas science and technology (01-11-2006)
    “…The spectral matrix computed from VSP-traces transfer functions contains information about each wave making up the VSP data set. Using a filter based on the…”
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    Journal Article
  9. 9

    Sea bottom effects at low seismic frequencies: Observation and modeling by Le Roux, S., Dietrich, M., Glangeaud, F., Charvis, P., Deverchere, J., Operto, S.

    Published in Proceedings of OCEANS'94 (1994)
    “…At low frequencies, acoustic wave propagation in the sea is strongly affected by the sea bottom. The aim of this study is to outline a number of techniques…”
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    Conference Proceeding
  10. 10
  11. 11

    Blind separation of polarised waves by Lacoume, J. L., Glangeaud, F., Mars, J.

    “…In a great many situations polarised waves are received on vectorial sensors. These waves are composed of several polarised sources associated with different…”
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    Conference Proceeding
  12. 12

    Identification of ULF magnetospheric waves by using the cross-spectral matrix by GLANGEAUD, F, Latombe, C, LACOUME, J-L

    Published in Annales des télécommunications (01-03-1979)
    “…Various methods of measurement of the cross spectral matrix of stationary signals are recalled. The study of these matrices enables us to determine the number…”
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    Journal Article
  13. 13

    P-Time delay measurement of a doublet of microearthquakes by Poupinet, G., Glangeaud, F., Cote, P.

    “…The measurement of temporal changes in crustal properties is important for earthquake prediction studies. This note shows that P-time delays of doublets of…”
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    Conference Proceeding
  14. 14

    Ocean waveguide effects on acoustic and seismic ULF propagation by Nardin, M., Glangeaud, F., Vanpe, J.M., Ancey, R., Pignot, P., Royer, L., Gafet, S.

    “…Underwater wave propagation in the domain of ultra low frequencies (ULF, between 1 and 50 Hz) is highly dependent on the seabed. Three types of wave…”
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    Conference Proceeding
  15. 15

    Ocean wave guide effects on acoustic and seismic U.L.F. propagation by Nardin, M, Glangeaud, F, Vanpe, J M, Ancey, R, Pignot, P, Royer, L, Gaffet, S

    Published in PROCEEDINGS OF OCEANS '97. VOLUME 1 (01-01-1997)
    “…Underwater wave propagation in the domain of Ultra Low Frequencies (U.L.F., between 1 and 50 Hz) is highly dependent on the underground. Three types of wave…”
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    Conference Proceeding
  16. 16

    ULF waves: Conjugated ground-satellite relationships by Gendrin, Roger, Perraut, Sylvaine, Fargetton, Herv, Glangeaud, Fran ois, Lacoume, Jean-Louis

    Published in Space science reviews (01-10-1978)
    “…The simultaneous occurrence of ULF waves, observed onboard GEOS and at two of its conjugated stations (Husafell, Iceland and Skibotn, Norway) was studied. The…”
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    Journal Article
  17. 17

    Use of multidimentional MEM spectral analysis in geophysics by Glangeaud, F., Gharbi, M., Martin, N., Lacoume, J.

    “…Auto and cross spectral analysis is the basic tool for geophysicist in order to study resonances of the magnetosphere using natural electromagnetic waves…”
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    Conference Proceeding
  18. 18

    Study of climatic series by time-frequency analysis by Benoist, J., Glangeaud, F., Martin, N., Lacoume, J., Lorius, C., Ouahman, A.A.

    “…A climatic record given by isotopic composition of ice from Dome C (Antarctica) is studied using evolutive spectral analysis by AR process. Problems which…”
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    Conference Proceeding