Now showing items 1-8 of 8

  • 3-D Local Radon Power Spectra for Seismic Attribute Extraction 

    Steeghs, Philippe; Fokkema, Jacob T; Diephuis, Gerhard (1998-01-15)
    In this paper we discuss a method for volume attribute extraction that is based on a new type of local Radon power spectrum. The new algorithm results in robust and geologically meaningful volume attributes, such as ...
  • Decomposition of seismic signals via time-frequency representations 

    Tobback, Tom; Steeghs, Philippe; Drijkoningen, Guy G; Fokkema, Jacob T (1996-01-15)
    In this paper we discuss the use of a time-frequency representation, the Wigner distribution, for the decomposition and characterization of seismic signals. The advantage of the Wigner distribution over other representations, ...
  • Fast computation of the sliding-window Radon transform with application to attribute extraction 

    Steeghs, Philippe (1999-01-15)
    We have developed a fast and robust algorithm for the extraction of 3-D seismic attributes. The algorithm is based on the recursive computation of the 3-D sliding-window Radon transform. Considerable gain in computational ...
  • Hybrid Linear/Quadratic Time-Frequency Attributes 

    Baraniuk, Richard G.; Coates, Mark J.; Steeghs, Philippe (2000-06-01)
    We present an efficient method for robustly calculating time-frequency attributes of a signal, including instantaneous mean frequency, bandwidth, and kurtosis. Most current approaches involve a costly intermediate step of ...
  • Hybrid Linear/Quadratic Time-Frequency Attributes 

    Baraniuk, Richard G.; Coates, Mark J.; Steeghs, Philippe (2001-04-01)
    We present an efficient method for robustly calculating time-frequency attributes of a signal, including instantaneous mean frequency, bandwidth, kurtosis, and other moments. Most current attribute estimation techniques ...
  • Multiscale Texture Segmentation of Dip-cube Slices using Wavelet-domain Hidden Markov Trees 

    Magrin-Chagnolleau, Ivan; Choi, Hyeokho; van Spaendonck, Rutger; Steeghs, Philippe; Baraniuk, Richard G. (1999-11-01)
    Wavelet-domain Hidden Markov Models (HMMs) are powerful tools for modeling the statistical properties of wavelet coefficients. By characterizing the joint statistics of wavelet coefficients, HMMs efficiently capture the ...
  • Time Frequency Analysis Applications in Geophysics 

    Steeghs, Philippe; Baraniuk, Richard G.; Odegard, Jan E. (2002-01-15)
    In this chapter, we overview a number of applications of time-frequency representations in seismic data processing, from the analysis of seismic sequences to efficient attribute extraction to 3-D attributes for volumetric data.
  • Time-frequency analysis of seismic sequences 

    Steeghs, Philippe; Drijkoningen, Guy G (1995-01-15)
    Reflection patterns play an important role in seismic sequence stratigraphy, therefore making their quantitative description essential for the construction and validation of sequence stratigraphic models from seismic data. ...