Now showing items 573-592 of 1068

  • 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 ...
  • Multiscale Connection-Level Analysis of Network Traffic 

    Sarvotham, Shriram; Riedi, Rudolf H.; Baraniuk, Richard G. (2002-11-01)
    Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling on small scales. ...
  • A Multiscale Data Representation for Distributed Sensor Networks 

    Wagner, Raymond; Sarvotham, Shriram; Baraniuk, Richard G. (2005-03-01)
    Though several wavelet-based compression solutions for wireless sensor network measurements have been proposed, no such technique has yet appreciated the need to couple a wavelet transform tolerant of irregularly sampled ...
  • A Multiscale Data Representation for Distributed Sensor Networks: Proofs of Basis Characteristics and Error Bounds 

    Sarvotham, Shriram; Wagner, Raymond; Baraniuk, Richard G. (2004-09-01)
    Provides proofs of Parseval tight-frame membership and approximation properties for the basis proposed in "A Multiscale Data Representation for Distributed Sensor Networks" by R. Wagner, S. Sarvotham, and R. Baraniuk (ICASSP ...
  • Multiscale Density Estimation 

    Willett, Rebecca; Nowak, Robert David (2003-08-20)
    The nonparametric density estimation method proposed in this paper is computationally fast, capable of detecting density discontinuities and singularities at a very high resolution, spatially adaptive, and offers near ...
  • Multiscale Edge Grammars for Complex Wavelet Transforms 

    Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2001-10-01)
    Wavelet domain algorithms have risen to the forefront of image processing. The power of these algorithms is derived from the fact that the wavelet transform restructures the image in a way that makes statistical modeling ...
  • Multiscale Geometric Image Processing 

    Romberg, Justin; Wakin, Michael; Baraniuk, Richard G. (2003-07-01)
    Since their introduction a little more than 10 years ago, wavelets have revolutionized image processing. Wavelet based algorithms define the state-of-the-art for applications including image coding (JPEG2000), restoration, ...
  • Multiscale Image Processing Using Normal Triangulated Meshes 

    Jansen, Maarten; Choi, Hyeokho; Lavu, Sridhar; Baraniuk, Richard G. (2001-10-01)
    Multiresolution triangulation meshes are widely used in computer graphics for 3-d modelling of shapes. We propose an image representation and processing framework using a multiscale triangulation of the grayscale function. ...
  • Multiscale Image Segmentation Using Joint Texture and Shape Analysis 

    Neelamani, Ramesh; Romberg, Justin; Riedi, Rudolf H.; Choi, Hyeokho; Baraniuk, Richard G. (2000-07-01)
    We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke the powerful framework ...
  • Multiscale Image Segmentation using Wavelet-domain Hidden Markov Models 

    Choi, Hyeokho; Baraniuk, Richard G. (2001-09-01)
    We introduce a new image texture segmentation algorithm, HMTseg, based on wavelets and the hidden Markov tree (HMT) model. The HMT is a tree-structured probabilistic graph that captures the statistical properties of the ...
  • Multiscale Likelihood Analysis and Complexity Penalized Estimation 

    Kolaczyk, Eric D.; Nowak, Robert David (2001-08-20)
    We describe here a framework for a certain class of multiscale likelihood factorization wherein, in analogy to a wavlet decomposition of an L² function, a given likelihood function has an alternative representation as a ...
  • Multiscale Likelihood Analysis and Image Reconstruction 

    Willett, Rebecca; Nowak, Robert David (2003-08-20)
    The nonparametric multiscale polynomial and platelet methods presented here are powerful new tools for signal and image denoising and reconstruction. Unlike traditional wavelet-based multiscale methods, these methods are ...