Now showing items 1326-1345 of 2388

    • Multiple access schemes over multipath fading channels 

      Erkip, Elza; Aazhang, Behnaam (1998-10-20)
      We compare the performance of different accessing schemes for communication over an additive white Gaussian noise multiple access channel with multipath fading. We assume that only the receiver can track the channel ...
    • 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 scattering of broadband terahertz pulses 

      Pearce, Jeremiah Glen (2005)
      Propagation of single-cycle terahertz (THz) pulses through a random medium leads to dramatic amplitude and phase variations of the electric field because of multiple scattering. We present the first set of experiments that ...
    • 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 ...
    • Multiple window time-frequency analysis 

      Bayram, Metin (1996)
      The bias-variance trade-off is an important issue is spectrum estimation. In 1982, Thomson introduced a powerful multiple window method for stationary signals that deals with the bias-variance trade-off in an optimal ...
    • A Multiplexable, Microfluidic Platform for the Rapid Quantitation of a Biomarker Panel for Early Ovarian Cancer Detection at the Point-of-Care 

      Shadfan, Basil H.; Simmons, Archana R.; Simmons, Glennon W.; Ho, Andy; Wong, Jorge; Lu, Karen H.; Bast, Robert C. Jr.; McDevitt, John T. (2015)
      Point-of-care (POC) diagnostic platforms have the potential to enable low-cost, large-scale screening. As no single biomarker is shed by all ovarian cancers, multiplexed biomarker panels promise improved sensitivity and ...
    • Multiplexed In?Situ Immunofluorescence Using Dynamic DNA Complexes 

      Schweller, Ryan M.; Zimak, Jan; Duose, Dzifa Y.; Qutub, Amina A.; Hittelman, Walter N.; Diehl, Michael R. (2012)
    • 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 methods for recovering signals and sets from noisy observations 

      Willett, Rebecca M. (2005)
      The nonparametric multiscale partition-based estimators presented in this thesis are powerful tools for signal reconstruction and set estimation from noisy observations. Unlike traditional wavelet-based multiscale methods, ...
    • 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 M. (2002)
      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 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 ...