Now showing items 235-254 of 508

  • Multifractal Cross-Traffic Estimation 

    Ribeiro, Vinay Joseph; Coates, Mark J.; Riedi, Rudolf H.; Sarvotham, Shriram; Hendricks, Brent; Baraniuk, Richard G. (2000-09-01)
    In this paper we develop a novel model-based technique, the Delphi algorithm, for inferring the instantaneous volume of competing cross-traffic across an end-to-end path. By using only end-to-end measurements, Delphi avoids ...
  • Multifractal Formalism for Infinite Multinomial Measures 

    Riedi, Rudolf H.; Mandelbrot, Benoit (1995-01-20)
    There are strong reasons to believe that the multifractal spectrum of DLA shows anomalies which have been termed left sided. In order to show that this is compatible with strictly multiplicative structures Mandelbrot et ...
  • Multifractal products of stochastic processes: construction and some basic properties 

    Mannersalo , Petteri; Riedi, Rudolf H.; Norros , Ilkka (2002-01-15)
    In various fields, such as teletraffic and economics, measured times series have been reported to adhere to multifractal scaling. Classical cascading measures possess multifractal scaling, but their increments form a ...
  • Multifractal Properties of TCP Traffic: a Numerical Study 

    Riedi, Rudolf H.; Vehel, Jacques (1997-10-20)
    We analyze two traces of TCP--traffic recorded at the gateway of a LAN corre­ sponding to two hours at Berkeley and to eight hours at CNET labs respectively. We are mainly interested in a multifractal approach, which we ...
  • Multifractal Signal Models with Application to Network Traffic 

    Crouse, Matthew; Riedi, Rudolf H.; Ribeiro, Vinay Joseph; Baraniuk, Richard G. (1998-08-01)
    In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure ...
  • A Multifractal Wavelet Model for Positive Processes 

    Crouse, Matthew; Riedi, Rudolf H.; Ribeiro, Vinay Joseph; Baraniuk, Richard G. (1998-10-01)
    In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure ...
  • A Multifractal Wavelet Model with Application to Network Traffic 

    Riedi, Rudolf H.; Crouse, Matthew; Ribeiro, Vinay Joseph; Baraniuk, Richard G. (1999-04-01)
    In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure ...
  • Multifractals and Wavelets: A potential tool in Geophysics 

    Riedi, Rudolf H. (1998-01-01)
    The study of fractal quantities and structures exhibiting highly erratic features on all scales has proved to be of outstanding significance in various disciplines. While scaling phenomena are pervasive in natural and ...
  • Multilingual Open-Content Signal Processing Laboratories in Connexions 

    Frantz, Patrick; Baraniuk, Richard G.; Choi, Hyeokho; Jones, Douglas L. (2004-11-01)
    Due to inherent factors like a small and fragmented market and rapid hardware obsolescence, the conventional textbook is inadequate for DSP laboratory education. Freely available open-content materials that enable and ...
  • Multiple Basis Wavelet Denoising using Besov Projections 

    Choi, Hyeokho; Baraniuk, Richard G. (1999-10-01)
    Wavelet-based image denoising algorithm depends upon the energy compaction property of wavelet transforms. However, for many real-world images, we cannot expect good energy compaction in a single wavelet domain, because ...
  • Multiple wavelet basis image denoising using Besov ball projections 

    Choi, Hyeokho; Baraniuk, Richard G. (2004-09-01)
    We propose a new image denoising algorithm that exploits an image's representation in multiple wavelet domains. Besov balls are convex sets of images whose Besov norms are bounded from above by their radii. Projecting an ...
  • Multiple Window Time Frequency Analysis 

    Bayram, Metin; Baraniuk, Richard G. (1996-06-01)
    We propose a robust method for estimating the time-varying spectrum of a non-stationary random process. Our approach extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale ...
  • Multiple Window Time Varying Spectrum Estimation 

    Baraniuk, Richard G.; Bayram, Metin (2000-01-20)
    We overview a new non-parametric method for estimating the time-varying spectrum of a non-stationary random process. Our method extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency ...
  • Multiplicative Multiscale Image Decompositions: Analysis and Modeling 

    Romberg, Justin; Riedi, Rudolf H.; Choi, Hyeokho; Baraniuk, Richard G. (2000-07-01)
    Multiscale processing, in particular using the wavelet transform, has emerged as an incredibly effective paradigm for signal processing and analysis. In this paper, we discuss a close relative of the Haar wavelet transform, ...
  • Multiresolution Intensity Estimation of Piecewise Linear Poisson Processes 

    Willett, Rebecca (2001-04-20)
    Given observations of a one-dimensional piecewise linear, length-M Poisson intensity function, our goal is to estimate both the partition points and the parameters of each segment. In order to determine where the breaks ...
  • Multiresolution Nonparametric Intensity and Density Estimation 

    Willett, Rebecca; Nowak, Robert David (2002-05-20)
    This paper introduces a new multiscale method for nonparametric piecewise polynomial intensity and density estimation of point processes. Fast, piecewise polynomial, maximum penalized likelihood methods for intensity and ...
  • Multiscale Analysis for Intensity and Density Estimation 

    Willett, Rebecca (2002-04-20)
    The nonparametric multiscale polynomial and platelet algorithms presented in this thesis are powerful new tools for signal and image denoising and reconstruction. Unlike traditional wavelet-based multiscale methods, these ...
  • Multiscale Approximation of Piecewise Smooth Two-Dimensional Function using Normal Triangulated Meshes 

    Jansen, Maarten; Baraniuk, Richard G.; Lavu, Sridhar (2005-07-01)
    Multiresolution triangulation meshes are widely used in computer graphics for representing three-dimensional(3-d) shapes. We propose to use these tools to represent 2-d piecewise smooth functions such as grayscale ...
  • A Multiscale Bayesian Framework for Linear Inverse Problems and Its Application to Image Restoration 

    Wan, Yi; Nowak, Robert David (2001-01-20)
    In this paper we develop a wavelet-based statistical method for solving linear inverse problems. The Bayesian framework developed here is general enough to treat a wide class of linear inverse problems involving (white ...
  • Multiscale Classification using Complex Wavelets and Hidden Markov Tree Models 

    Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G.; Kingsbury, Nicholas G. (2000-09-01)
    Multiresolution signal and image models such as the hidden Markov tree (HMT) aim to capture the statistical structure of smooth and singular (textured and edgy) regions. Unfortunately, models based on the orthogonalwavelet ...