Now showing items 2-11 of 11

  • Edge Guided Reconstruction for Compressive Imaging 

    Guo, Weihong; Yin, Wotao (2012-07-03)
    We propose EdgeCS—an edge guided compressive sensing reconstruction approach—to recover images of higher quality from fewer measurements than the current methods. Edges are important image features that are used in various ...
  • The Effects of Theta Precession on Spatial Learning and Simplicial Complex Dynamics in a Topological Model of the Hippocampal Spatial Map 

    Arai, Mamiko; Brandt, Vicky; Dabaghian, Yuri (2014-06-19)
    Learning arises through the activity of large ensembles of cells, yet most of the data neuroscientists accumulate is at the level of individual neurons; we need models that can bridge this gap. We have taken spatial learning ...
  • Filtering Deterministic Layer Effects in Imaging 

    Borcea, L.; del Cueto, F. Gonzalez; Papanicolaou, G.; Tsogka, C. (2012)
    Sensor array imaging arises in applications such as nondestructive evaluation of materials with ultrasonic waves, seismic exploration, and radar. The sensors probe a medium with signals and record the resulting echoes, ...
  • Local Error Analysis of Discontinuous Galerkin Methods for Advection-Dominated Elliptic Linear-Quadratic Optimal Control Problems 

    Leykekhman, Dmitriy; Heinkenschloss, Matthias (2012-08-15)
    This paper analyzes the local properties of the symmetric interior penalty upwind discontinuous Galerkin (SIPG) method for the numerical solution of optimal control problems governed by linear reaction-advection-diffusion ...
  • Model reduction of strong-weak neurons 

    Du, Bosen; Sorensen, Danny; Cox, Steven J. (2014)
    We consider neurons with large dendritic trees that are weakly excitable in the sense that back propagating action potentials are severly attenuated as they travel from the small, strongly excitable, spike initiation zone. ...
  • A New Compressive Video Sensing Framework for Mobile Broadcast 

    Li, Chengbo; Jiang, Hong; Wilford, Paul; Zhang, Yin; Scheutzow, Mike (2013-03)
    A new video coding method based on compressive sampling is proposed. In this method, a video is coded using compressive measurements on video cubes. Video reconstruction is performed by minimization of total variation ...
  • Ritz Value for Non-Hermitian Matrices 

    Carden, Russell L.; Embree, Mark (2012-12-12)
    Rayleigh–Ritz eigenvalue estimates for Hermitian matrices obey Cauchy interlacing, which has helpful implications for theory, applications, and algorithms. In contrast, few results about the Ritz values of non-Hermitian ...
  • Short-term Recurrence Krylov Subspace Methods for Nearly Hermitian Matrices 

    Embree, Mark; Sifuentes, Josef A.; Soodhalter, Kirk M.; Szyld, Daniel B.; Xue, Fei (2012-06-05)
    The progressive GMRES algorithm, introduced by Beckermann and Reichel in 2008, is a residual-minimizing short-recurrence Krylov subspace method for solving a linear system in which the coefficient matrix has a low-rank ...
  • Synthetic Aperture Radar Imaging and Motion Estimation via Robust Principal Component Analysis 

    Borcea, Liliana; Callaghan, Thomas; Papanicolaou, George (2012-08-22)
    We consider the problem of synthetic aperture radar (SAR) imaging and motion estimation of complex scenes. By complex we mean scenes with multiple targets, stationary and in motion. We use the usual setup with one moving ...
  • Time-Dependent Coupling of Navier-Stokes and Darcy Flows 

    Cesmelioglu, Aycil; Girault, Vivette; Riviere, Beatrice (2013-01-11)
    A weak solution of the coupling of time-dependent incompressible Navier–Stokes equations with Darcy equations is defined. The interface conditions include the Beavers–Joseph–Saffman condition. Existence and uniqueness ...