Now showing items 689-708 of 1783

  • Hybrid Linear / Bilinear Time-Scale Analysis 

    Pasquier, Martin; Goncalves, Paulo; Baraniuk, Richard G. (1999-01-01)
    We introduce a new method for the time-scale analysis of non-stationary signals. Our work leverages the success of the "time-frequency distribution series / cross-term deleted representations" into the time-scale domain ...
  • Hybrid Linear-Iterative Detection Algorithms for MIMO CDMA 

    Muharemovic, Tarik; Onggosanusi, Eko; Dabak, Anand; Aazhang, Behnaam (2002-05-20)
    We assume a CDMA downlink multiuser scenario, where the base station is equipped with multiple transmit antennas, and each user has multiple receive antennas. For this setup we propose a new, computationally effective MIMO ...
  • Hybrid Linear/Bilinear Time-Scale Analysis 

    Pasquier, Martin; Goncalves, Paulo; Baraniuk, Richard G. (1996-06-01)
    We introduce a new method for the time-scale analysis of nonstationary signals. Our work leverages the success of the â time-frequency distribution series/cross-term deleted representationsâ into the time-scale domain ...
  • Hybrid Linear/Quadratic Time-Frequency Attributes 

    Baraniuk, Richard G.; Coates, Mark J.; Steeghs, Philippe (2001-04-01)
    We present an efficient method for robustly calculating time-frequency attributes of a signal, including instantaneous mean frequency, bandwidth, kurtosis, and other moments. Most current attribute estimation techniques ...
  • Hybrid Linear/Quadratic Time-Frequency Attributes 

    Baraniuk, Richard G.; Coates, Mark J.; Steeghs, Philippe (2000-06-01)
    We present an efficient method for robustly calculating time-frequency attributes of a signal, including instantaneous mean frequency, bandwidth, and kurtosis. Most current approaches involve a costly intermediate step of ...
  • Hybrid supercapacitor-battery materials for fast electrochemical charge storage 

    Vlad, A.; Singh, N.; Rolland, J.; Melinte, S.; Ajayan, P.M.; Gohy, J.-F. (2014-03-07)
    High energy and high power electrochemical energy storage devices rely on different fundamental working principles - bulk vs. surface ion diffusion and electron conduction. Meeting both characteristics within a single or ...
  • Hydrophobic and hydrophilic interactions in aqueous mixtures of alcohols at a hydrophobic surface 

    Ballal, Deepti; Chapman, Walter G. (2013-09-20)
    Aqueous solutions of alcohols are interesting because of their anomalous behavior that is believed to be due to the molecular structuring of water and alcohol around each other in solution. The interfacial structuring ...
  • Identification by laser desorption ionization mass spectroscopy of large fullerenes formed during the growth of single-walled carbon nanotubes in the HiPco process 

    Brinson, Bruce E. (2004)
    Iron catalyzed gas-phased disproportionation of carbon monoxide under high pressure is known to produce carbon Single Walled Nano-Tubes (SWNT). Non-tubular carbon by products and iron encapsulated-graphitic shelled ...
  • An Identification Scheme for the Determination of Systemic Arterial Load Parameters 

    Ling, R.Y.S.; Clark, Jr., J.W.; Srinivasan, R.; Cole, J.S.; Pruett, R.C. (1975-04-20)
    An identification scheme is developed for the determination of several parameters of a modified "Windkessel" model of the systemic arterial system for an individual patient undergoing cardiac catheterization. The scheme ...
  • Image Compression using an Efficient Edge Cartoon + Texture Model 

    Wakin, Michael; Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2002-04-01)
    Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge singularities, and coding performance ...
  • Image compression using multiscale geometric edge models 

    Wakin, Michael Bruce (2002)
    Edges are of particular interest for image compression, as they communicate important information, contribute large amounts of high-frequency energy, and can generally be described with few parameters. Many of today's most ...
  • Image Compression using Multiscale Geometric Edge Models 

    Wakin, Michael (2002-05-20)
    Edges are of particular interest for image compression, as they communicate important information, contribute large amounts of high-frequency energy, and can generally be described with few parameters. Many of today's most ...
  • Image Data Compression 

    Wei, Dong (1995-05-01)
    Wavelet-based multi-resolution representation has become a cutting-edge technology in the area of image data compression. Though the discrete wavelet transform is closely related to the perfect-reconstruction octave-band ...
  • IMAGE DATA COMPRESSION AND RECONSTRUCTION BASED ON FREQUENCY DOMAIN CONSIDERATIONS AND PARTIAL DIFFERENTIAL EQUATION MODELS 

    CHEN, TING-CHUNG CHARLES (1981)
    The image data compression and reconstruction problems are investigated in this dissertation, and new techniques for their solution are presented. Conventional image transform coding techniques are given a spatial domain ...
  • Image enhancement by nonlinear wavelet processing 

    Odegard, Jan E. (1994-10-20)
    In this paper we describe how the theory of wavelet thresholding introduced by Donoho and Johnstone can successfully be applied to two distinct problems in image processing where traditional linear filtering techniques are ...
  • Image mapping spectrometry: calibration and characterization 

    Bedard, Noah; Hagen, Nathan; Gao, Liang; Tkaczyk, Tomasz S. (2012-11-01)
    Image mapping spectrometry (IMS) is a hyperspectral imaging technique that simultaneously captures spatial and spectral information about an object in real-time. We present a new calibration procedure for the IMS as well ...
  • Image Restoration Using the EM Algorithm and Wavelet-Based Complexity Regularization 

    Figueiredo, Mario; Nowak, Robert David (2002-05-20)
    This paper introduces an <i>expectation-maximization</i> (EM) algorithm for image restoration (deconvolution) based on a penalized likelihood formulated in the wavelet domain. Regularization is achieved by promoting a ...
  • Image Super-Resolution for Improved Automatic Target Recognition 

    Wagner, Raymond; Waagen, Donald; Cassabaum, Mary (2004-04-01)
    Infrared imagers used to acquire data for automatic target recognition are inherently limited by the physical properties of their components. Fortunately, image super-resolution techniques can be applied to overcome the ...
  • Imagine: Media Processing with Streams 

    Khailany, Brucek; Dally, William J.; Kapasi, Ujval J.; Mattson, Peter; Namkoong, Jinyung; Owens, John D.; Towles, Brian; Chang, Andrew; Rixner, Scott (2001-03-20)
    The Power-efficient Imagine stream processor achieves performance densities comparable to those of special-purpose embedded processors. Executing programs mapped to streams and kernels, a single Imagine processor is expected ...
  • Imaging genetics via sparse canonical correlation analysis 

    Chi, Eric C.; Allen, Genevera I.; Zhou, Hua; Kohannim, Omid; Lange, Kenneth; Thompson, Paul M. (2013)
    The collection of brain images from populations of subjects who have been genotyped with genome-wide scans makes it feasible to search for genetic effects on the brain. Even so, multivariate methods are sorely needed that ...