Now showing items 1060-1079 of 1796

  • Network tomography in theory and practice 

    Tsang, Yau-Yau Yolanda (2005)
    Network tomography has recently emerged as a promising method for indirectly inferring network state information from end-to-end measurements. In this thesis, I present novel methodologies for several challenging network ...
  • Network Traffic Modeling using a Multifractal Wavelet Model 

    Riedi, Rudolf H.; Crouse, Matthew; Ribeiro, Vinay Joseph; Baraniuk, Richard G. (1999-02-01)
    In this paper, we describe a new multiscale model for characterizing positive-valued and long-range dependent data. The model uses the Haar wavelet transform and puts a constraint on the wavelet coefficients to guarantee ...
  • Network Traffic Modeling using a Multifractal Wavelet Model 

    Riedi, Rudolf H.; Ribeiro, Vinay Joseph; Crouse, Matthew; Baraniuk, Richard G. (2000-07-01)
    In this paper, we develop a simple and powerful multiscale model for syntheizing nonFaussian, long-range dependent (LRD) network traffic. Although wavelets effectively decorrelate LRD data, wavelet-based models have generally ...
  • Neural Networks of Colored Sequence Synesthesia 

    Tomson, Steffie N.; Narayan, Manjari; Allen, Genevera I.; Eagleman, David M. (2013-08-28)
    Synesthesia is a condition in which normal stimuli can trigger anomalous associations. In this study,weexploit synesthesia to understand how the synesthetic experience can be explained by subtle changes in network properties. ...
  • Neural population structures and consequences for neural coding 

    Johnson, Don (2002-09-20)
    Researchers studying neural coding have speculated that populations of neurons would more effectively represent the stimulus if the neurons "cooperated:" by interacting through lateral connections, the neurons would process ...
  • NeuroPG: open source software for optical pattern generation and data acquisition 

    Avants, Benjamin W.; Murphy, Daniel B.; Dapello, Joel A.; Robinson, Jacob T. (2015)
    Patterned illumination using a digital micromirror device (DMD) is a powerful tool for optogenetics. Compared to a scanning laser, DMDs are inexpensive and can easily create complex illumination patterns. Combining these ...
  • Neutral forces acting on intragenomic variability shape the Escherichia coli regulatory network topology 

    Ruths, Troy; Nakhleh, Luay (2013-04)
    Cis-regulatory networks (CRNs) play a central role in cellular decision making. Like every other biological system, CRNs undergo evolution, which shapes their properties by a combination of adaptive and nonadaptive ...
  • A New and Efficient Program for Finding All Polynomial Roots 

    Lang, Markus; Frenzel, Bernhard-Christian (1993-01-15)
    Finding polynomial roots rapidly and accurately is an important problem in many areas of signal processing. We present a new program which is a combination of Muller's and Newton's method. We use the former for computing ...
  • New approaches to modeling multi-port scattering parameters 

    Lefteriu, Sanda (2009)
    This work addresses the problem of building a macromodel from frequency response measurements by means of a stable and passive linear dynamical system in state-space representation. The proposed algorithms are based on a ...
  • New Bayesian Model Averaging Framework for Wavelet-Based Signal Processing 

    Wan, Yi; Nowak, Robert David (2000-06-20)
    This paper develops a new signal modeling framework using Bayesian model averaging formulation and the redundant or translation-invariant wavelet transform. The aim of this framework is to provide a paradigm general enough ...
  • New class of wavelets for signal approximation 

    Odegard, Jan E.; Burrus, C. Sidney (1996-05-20)
    This paper develops a new class of wavelets for which the classical Daubechies zero moment property has been relaxed. The advantages of relaxing higher order wavelet moment constraints is that within the framework of ...
  • 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 ...
  • New Dimensions In Wavelet Analysis 

    Baraniuk, Richard G.; Jones, Douglas L. (1992-03-01)
    In this paper we propose a new class of signal analysis tools that generalizes the popular wavelet and short-time Fourier transforms. The class allows skews and rotations of the analyzing wavelet in the time-frequency ...
  • New Dynamic Model-Based Fault Detection Thresholds for Robot Manipulators 

    Visinsky, Monica L.; Walker, Ian D.; Cavallaro, Joseph R. (1994-05-01)
    Autonomous robotic fault detection is becoming increasingly important as robots are used in more inaccessible and hazardous environments. Detection algorithms, however, are adversely effected by the model simplification, ...
  • New Estimation Techniques for a class of chaotic signals 

    Rajan, Dinesh; Aazhang, Behnaam (2000-06-20)
    We propose a new technique for estimation of chaotic signals in the presence of additive noise. The new method uses statistical measures to restrict the space over which the signals are received. The proposed technique ...
  • A New Framework for Complex Wavelet Transforms 

    Fernandes, Felix; van Spaendonck, Rutger; Burrus, C. Sidney (2003-06-20)
    Although the Discrete Wavelet Transform (DWT) is a powerful tool for signal and image processing, it has three serious disadvantages: shift sensitivity, poor directionality and lack of phase information. To overcome these ...
  • New insights into the properties and interactions of carbon chains as revealed by HRTEM and DFT analysis 

    Casillas, Gilberto; Mayoral, Alvaro; Liu, Mingjie; Ponce, Arturo; Artyukhov, Vasilii I.; Yakobson, Boris I.; Jose-Yacaman, Miguel (2014)
    Atomic carbon chains have raised interest for their possible applications as graphene interconnectors as the thinnest nanowires; however, they are hard to synthesize and subsequently to study. We present here a reproducible ...
  • A New Interferometric Phase-Shifting Technique for Sub-half-micron Laser Microlithography 

    Erdelyi, Miklos; Sengupta, Chaitali; Bor, Zsolt; Cavallaro, Joseph R.; Kido, Motoi; Smayling, Michael C.; Tittel, Frank K.; Wilson, William L.; Szabo, Gabor (1995-02-01)
    This paper reports recent progress in achieving sub-half-micron feature sizes with UV laser illumination based on a novel interferometric phase shifting (IPS) technique. In the IPS arrangement, the intensity and amount of ...
  • A new look at the informational gain of soft decisions 

    Lexa, Michael; Johnson, Don (2003-04-20)
    This paper develops a new systematic method of studying the benefits of 2-bit soft decisions by applying the concepts of information processing theory. We quantify performance in terms of the information transfer ratio and ...
  • A New MIMO Detector Architecture Based on A Forward-Backward Trellis Algorithm 

    Sun, Yang; Cavallaro, Joseph R. (2008-10-01)
    In this paper, a recursive Forward-Backward (F-B) trellis algorithm is proposed for soft-output MIMO detection. Instead of using the traditional tree topology, we represent the search space of the MIMO signals with a fully ...