Now showing items 65-84 of 2384

    • Active dielectric antenna on chip for spatial light modulation 

      Qiu, Ciyuan; Chen, Jianbo; Xia, Yang; Xu, Qianfan (2012-11-14)
      Integrated photonic resonators are widely used to manipulate light propagation in an evanescently-coupled waveguide. While the evanescent coupling scheme works well for planar optical systems that are naturally waveguide ...
    • Active learning and adaptive sampling for non-parametric inference 

      Castro, Rui M. (2008)
      This thesis presents a general discussion of active learning and adaptive sampling. In many practical scenarios it is possible to use information gleaned from previous observations to focus the sampling process, in the ...
    • Adaptive Fault Detection and Tolerance for Robots 

      Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D. (1994-08-01)
      In existing robot fault detection schemes, sensed values of the joint status (position, velocity, etc.) are typically compared against expected or desired values, and if a given threshold is exceeded, a fault is inferred. ...
    • Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters 

      Vargas, Ricardo; Burrus, C. Sidney (1999-03-01)
      This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an Lp error criteria. The algorithm is an extension of Burrus' iterative reweighted least-squares (IRLS) ...
    • ADAPTIVE NONLINEAR IMAGE RESTORATION BY A MODIFIED KALMAN FILTERING APPROACH 

      RAJALA, SARAH ANN (1980)
      An adaptive nonlinear Kalman-type filter is presented in this dissertation for the restoration of two-dimensional images degraded by general image formation system degradations and additive white noise. A vector difference ...
    • An Adaptive Optimal-Kernel Time-Frequency Representation 

      Jones, Douglas L.; Baraniuk, Richard G. (1995-10-01)
      Time-frequency representations with fixed windows or kernels figure prominently in many applications, but perform well only for limited classes of signals. Representations with signal- dependent kernels can overcome this ...
    • An Adaptive Orthogonal-Series Estimator for Probability Density Functions 

      Anderson, G. Leigh; de Figueiredo, Rui J.P. (1978-02-20)
      Given a sample set X1,...,XN of independent identically distributed real-valued random variables, each with the unknown probability density function f(â ¢), the problem considered is to estimate f from the sample set. The ...
    • Adaptive Representation of JPEG 2000 Images Using Header-based Processing 

      Neelamani, Ramesh; Berkner, Kathrin (2002-09-20)
      To bridge the mismatch between the sizes of images and display devices, we present an efficient and automatic algorithm to create an adaptive image representation called SmartNail. Given a digital image and rectangular ...
    • Adaptive robot path planning with obstacle avoidance in a dynamic environment 

      Pham, Trung Tat (1991)
      The problem of path planning for a robotic system is considered, under the conditions in which both the target to be reached and the obstacles with which collision must be avoided are moving in a way not known in advance. ...
    • Adaptive Similarity Measures for Material Identification in Hyperspectral Imagery 

      Bue, Brian (2013-09-16)
      Remotely-sensed hyperspectral imagery has become one the most advanced tools for analyzing the processes that shape the Earth and other planets. Effective, rapid analysis of high-volume, high-dimensional hyperspectral image ...
    • Adaptive Wavelet Transforms for Image Coding 

      Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (1997-11-01)
      We introduce a new adaptive transform for wavelet-based image coding. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. Since the adaptive transform is non-linear, ...
    • Adaptive Wavelet Transforms for Image Coding 

      Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (1997-11-01)
      We introduce a new adaptive transform for wavelet-based image coding. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. Since the adaptive transform is non-linear, ...
    • Adaptive Wavelet Transforms for Image Coding using Lifting 

      Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (1998-03-01)
      Summary form only given. Image compression relies on efficient representations of images, and within smooth image regions, the wavelet transform provides such a representation. However, near edges, wavelet coefficients ...
    • Adaptive wavelet transforms via lifting 

      Claypoole, Roger L., Jr (2000)
      Wavelet transforms have proven very useful for a variety of signal and image processing tasks. The wedgelet transform also shows promise for certain edge-dominated images. However, in many applications we desire to introduce ...
    • Adaptive Wavelet Transforms via Lifting 

      Claypoole, Roger L.; Baraniuk, Richard G.; Nowak, Robert David (1999-01-15)
      This paper develops new algorithms for adapted multiscale analysis and signal adaptive wavelet transforms. We construct our adaptive transforms with the <i>lifting scheme</i>, which decomposes the wavelet transform into ...
    • Adaptive Wavelet Transforms via Lifting 

      Claypoole, Roger L.; Baraniuk, Richard G.; Nowak, Robert David (1998)
      This paper develops new algorithms for adapted multiscale analysis and signal adaptive wavelet transforms. We construct our adaptive transforms with the <i>lifting scheme</i>, which decomposes the wavelet transform into ...
    • Adaptive Wavelet Transforms via Lifting 

      Claypoole, Roger L.; Baraniuk, Richard G.; Nowak, Robert David (1998-05-01)
      This paper develops two new adaptive wavelet transforms based on the lifting scheme. The lifting construction exploits a spatial-domain, prediction-error interpretation of the wavelet transform and provides a powerful ...
    • Adaptive Weighted Highpass Filters Using Multiscale Analysis 

      Nowak, Robert David; Baraniuk, Richard G. (1998-07-01)
      In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the ...
    • Adding Linguistic Constraints to Document Image Decoding: Comparing the Iterated Complete Path and Stack Algorithms 

      Popat, Kris; Greene, Dan; Romberg, Justin; Bloomberg, Dan (2001-01-20)
      Beginning with an observed document image and a model of how the image has been degraded, Document Image Decoding recognizes printed text by attempting to find a most probable path through a hypothesized Markov source. The ...
    • Additive and Multiplicative Mixture Trees for Network Traffic Modeling 

      Sarvotham, Shriram; Wang, Xuguang; Riedi, Rudolf H.; Baraniuk, Richard G. (2002-05-01)
      Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling on small scales. ...