Now showing items 657-676 of 1136

    • Nanoparticles Heat through Light Localization 

      Hogan, Nathaniel J.; Urban, Alexander S.; Ayala-Orozco, Ciceron; Pimpinelli, Alberto; Nordlander, Peter; Halas, Naomi J. (2014)
      Aqueous solutions containing light-absorbing nanoparticles have recently been shown to produce steam at high efficiencies upon solar illumination, even when the temperature of the bulk fluid volume remains far below its ...
    • Nanostructure investigations of nonlinear differential conductance in NdNiO3 thin films 

      Hardy, Will J.; Ji, Heng; Mikheev, Evgeny; Stemmer, Susanne; Natelson, Douglas (2014)
      Transport measurements on thin films of NdNiO3 reveal a crossover to a regime of pronounced nonlinear conduction below the well-known metal-insulator transition temperature. The evolution of the transport properties at ...
    • Nanowire electrodes for high-density stimulation and measurement of neural circuits 

      Robinson, Jacob T.; Jorgolli, Marsela; Park, Hongkun (2013)
      Brain-machine interfaces (BMIs) that can precisely monitor and control neural activity will likely require new hardware with improved resolution and specificity. New nanofabricated electrodes with feature sizes and densities ...
    • Near Best Tree Approximation 

      Baraniuk, Richard G.; DeVore, Ronald A.; Kyriazis, George; Yu, Xiang Ming (2002-01-15)
      Tree approximation is a form of nonlinear wavelet approximation that appears naturally in applications such as image compression and entropy encoding. The distinction between tree approximation and the more familiar ...
    • Near-Far Resistant Code Synchronization For CDMA systems - An Implementation Perspective 

      Haller, Bruno; Cavallaro, Joseph R.; Aazhang, Behnaam (1996-04-20)
      In this paper we evaluate and compare several algorithms based on eigenanalysis techniques for near-far resistant code acquisition and tracking, i.e., delay estimation in multiuser CDMA communication systems under different ...
    • Network and User Driven Alpha-Beta Onâ Off Source Model for Network Traffic 

      Sarvotham, Shriram; Riedi, Rudolf H.; Baraniuk, Richard G. (2005-06-01)
      We shed light on the effect of network resources and user behavior on network traffic through a physically motivated model. The classical onâ off model successfully captures the long-range, second-order correlations of ...
    • Network Channel Estimation in Cooperative Wireless Networks 

      Khoshnevis, Ahmad; Sabharwal, Ashutosh (2003-05-20)
      In distributed wireless networks, where nodes actively participate in helping communication for other nodes, they are typically unaware of their neighourhood and hence have to "estimate" it before sending any useful data. ...
    • Network Loss Inference Using Unicast End-to-End Measurement 

      Coates, Mark J.; Nowak, Robert David (2000-09-20)
      The fundamental objective of this work is to determine the extent to which unicast, end-to-end network measurement is capable of determining internal network losses. The major contributions of this paper are two-fold: we ...
    • 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)
      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 ...
    • 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 in quartz-enhanced photoacoustic sensing 

      Sampaolo, Angelo; Patimisco, Pietro; Pennetta, Riccardo; Scamarcio, Gaetano; Tittel, Frank K. (2015)
      We report on the design and realization of custom quartz tuning forks with different geometries and sizes aimed to improve the photoacoustic effect in quartz-enhanced photoacoustic (QEPAS) sensor systems. A detailed analysis ...
    • 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 ...
    • 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 ...