Now showing items 1330-1349 of 2239

    • 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 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 ...
    • A New Imaging Platform for Visualizing Biological Effects of Non-Invasive Radiofrequency Electric-Field Cancer Hyperthermia 

      Corr, Stuart J.; Shamsudeen, Sabeel; Vergara, Leoncio A.; Ho, Jason Chak-Shing; Ware, Matthew J.; Keshishian, Vazrik; Yokoi, Kenji; Savage, David J.; Meraz, Ismail M.; Kaluarachchi, Warna; Cisneros, Brandon T.; Raoof, Mustafa; Nguyen, Duy Trac; Zhang, Yingchun; Wilson, Lon J.; Summers, Huw; Rees, Paul; Curley, Steven A.; Serda, Rita E. (2015)
      Herein, we present a novel imaging platform to study the biological effects of non-invasive radiofrequency (RF) electric field cancer hyperthermia. This system allows for real-time in vivointravital microscopy (IVM) imaging ...
    • 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 ...
    • New Metrics on Image Articulation Manifolds Using Optical Flow 

      Nagaraj, Sriram (2011)
      Image articulation manifolds (IAMs) arise in a wide variety of contexts in image processing and computer vision applications. IAMs are a natural nonlinear model for image ensembles generated by the variation of imaging ...
    • 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 ...
    • New multivariate dependence measures and applications to neural ensembles 

      Goodman, Ilan; Johnson, Don (2003-09-20)
      We develop two new multivariate statistical dependence measures. The first, based on the Kullback-Leibler distance, results in a single value that indicates the general level of dependence among the random variables. The ...
    • A new mutually reinforcing network node and link ranking algorithm 

      Wang, Zhenghua; Dueñas-Osorio, Leonardo; Padgett, Jamie E. (2015)
      This study proposes a novel Normalized Wide network Ranking algorithm (NWRank) that has the advantage of ranking nodes and links of a network simultaneously. This algorithm combines the mutual reinforcement feature of ...
    • A New Phase Shifting Method for High Resolution Microlithography 

      Kido, Motoi; Cavallaro, Joseph R.; Szabo, Gabor; Wilson, William L.; Tittel, Frank K. (1994-01-01)
      One of the most promising lithographic technique for the future designs of DRAMs is the phase-shifting mask technique. Conventional phase shifting-masks, however, are difficult to fabricate as they require regions of ...
    • A New Phase Shifting Technique for Deep UV Excimer Laser Based Lithography 

      Bor, Zsolt; Cavallaro, Joseph R.; Erdelyi, Miklos; Kido, Motoi; Sengupta, Chaitali; Smayling, Michael; Szabo, Gabor; Tittel, Frank; Wilson, William (1995-02-01)
      This paper reports simulation and experimental details of a novel phase shifting technique based o laser interferometry. Phase shifting is one of the most promising techniques for the fabrication of high density DRAM's. ...
    • New Real-Time Robot Motion Algorithms Using Parallel VLSI Architectures 

      Deo, Arati S.; Cavallaro, Joseph R.; Walker, Ian D. (1991-03-01)
      Real time robot control presents a major numerical challenge. The inverse kinematics problem of determining joint motion for a specified end effector trajectory is formulated as a damped least-squares problem which balances ...