Now showing items 1-7 of 7

  • Adaptive Wavelet Transforms for Image Coding 

    Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (1997-11-01)
    We introduce a new adaptive transform for wavelet-based image coding. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. Since the adaptive transform is non-linear, ...
  • Adaptive Wavelet Transforms via Lifting 

    Claypoole, Roger L.; Baraniuk, Richard G.; Nowak, Robert David (1999-01-15)
    This paper develops new algorithms for adapted multiscale analysis and signal adaptive wavelet transforms. We construct our adaptive transforms with the <i>lifting scheme</i>, which decomposes the wavelet transform into ...
  • Coherent Multiscale Image Processing using Quaternion Wavelets 

    Chan, Wai Lam; Choi, Hyeokho; Baraniuk, Richard G. (2006-10-01)
    The quaternion wavelet transform (QWT) is a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant tight frame representation whose coefficients sport a magnitude and three phases: ...
  • Diverging moments and parameter estimation 

    Goncalves, Paulo; Riedi, Rudolf H. (2004-01-15)
    Heavy tailed distributions enjoy increased popularity and become more readily applicable as the arsenal of analytical and numerical tools grows. They play key roles in modeling approaches in networking, finance, hydrology ...
  • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

    Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-04-20)
    A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
  • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

    Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-03-20)
    A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
  • Nonlinear Wigner-Ville Spectrum Estimation using Wavelet Soft Thresholding 

    Baraniuk, Richard G. (1995-04-01)
    The large variance of the Wigner-Ville distribution makes smoothing essential for producing readable estimates of the time-varying power spectrum of noise corrupted signals. Since linear smoothing trades reduced variance ...