Now showing items 1-6 of 6

  • Complex Wavelet Transforms with Allpass Filters 

    Fernandes, Felix; Selesnick, Ivan W.; van Spaendonck, Rutger; Burrus, C. Sidney (2003-08-20)
    Complex discrete wavelet transforms have significant advantages over real wavelet transforms for certain signal processing problems. Two approaches to the implementation of complex wavelet transforms have been proposed ...
  • A New Framework for Complex Wavelet Transforms 

    Fernandes, Felix; van Spaendonck, Rutger; Burrus, C. Sidney (2003-06-20)
    Although the Discrete Wavelet Transform (DWT) is a powerful tool for signal and image processing, it has three serious disadvantages: shift sensitivity, poor directionality and lack of phase information. To overcome these ...
  • Orthogonal Hilbert Transform Filter Banks and Wavelets 

    van Spaendonck, Rutger; Blu, Thierry; Baraniuk, Richard G.; Vetterli, Martin (2003-04-01)
    Complex wavelet transforms offer the opportunity to perform directional and coherent processing based on the local magnitude and phase of signals and images. Although denoising, segmentation, and image enhancement are ...
  • Directional Complex-Wavelet Processing 

    Fernandes, Felix; van Spaendonck, Rutger; Burrus, C. Sidney (2000-08-20)
    Poor directional selectivity, a major disadvantage of the separable 2D discrete wavelet transform (DWT), has previously been circumvented either by using highly redundant, nonseparable wavelet transforms or by using ...
  • 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 ...
  • Directional Scale Analysis for Seismic Interpretation 

    van Spaendonck, Rutger; Baraniuk, Richard G. (1999-11-01)
    A combined space-Fourier representation focused on directional scale analysis is presented. The method leads to a space-log polar frequency distribution. Application to seismic data shows differentiation in scale and ...