Now showing items 1-20 of 578

    • 3-D Local Radon Power Spectra for Seismic Attribute Extraction 

      Steeghs, Philippe; Fokkema, Jacob T; Diephuis, Gerhard (1998-01-15)
      In this paper we discuss a method for volume attribute extraction that is based on a new type of local Radon power spectrum. The new algorithm results in robust and geologically meaningful volume attributes, such as ...
    • 802.11b Operating in a Mobile Channel: Performance and Challenges 

      Steger, Christopher; Radosavljevic, Predrag; Frantz, Patrick (2003-09-20)
      In the past, the worlds of wireless voice and data transmission have been largely disjoint. Voice traffic has been carried over circuit-switched cellular links, and data has been largely restricted to packet-switched ...
    • Accelerating Computer Vision Algorithms Using OpenCL Framework on Mobile Devices - A Case Study 

      Wang, Guohui; Xiong, Y.; Yun, Jay; Cavallaro, Joseph R. (2013-06)
      Recently, general-purpose computing on graphics processing units (GPGPU) has been enabled on mobile devices thanks to the emerging heterogeneous programming models such as OpenCL. The capability of GPGPU on mobile devices ...
    • Achievable Diversity and Multiplexing in Multiple Antenna Systems with Quantized Power Control 

      Khoshnevis, Ahmad; Sabharwal, Ashutosh (2005-05-01)
      We consider a multiple antenna system with finite rate feedback, in which the quantized channel state information at the transmitter is used solely for temporal power control. We show that similar to systems without feedback, ...
    • Achievable Rates for Arbitrary Network Topologies with â Cheapâ Nodes 

      Khojastepour, Mohammad; Sabharwal, Ashutosh; Aazhang, Behnaam (2003-05-01)
      In this paper, we derive achievable rates for arbitrary network topologies consisting of â cheapâ nodes. A node is labeled â cheapâ if its radio can only operate in TDD mode when transmitting and receiving 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 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 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.; 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 ...
    • 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. ...
    • Allpass Filter Design and Applications 

      Lang, Markus (1995-01-15)
      The Problem of allpass filter design for phase approximation and equalization in the Chebyshev sense is solved by using a generalized Remez algorithm. Convergence to the unique optimum is guaranteed and is achieved rapidly ...
    • Analysis of Decision-Feedback Based Broadband OFDM Systems 

      de Baynast, Alexandre; Sabharwal, Ashutosh; Aazhang, Behnaam (2005-11-01)
      In wireless communications, about 25% of the bandwidth is dedicated to training symbols for channel estimation. By using a semi-blind approach, the training sequence length can be reduced while improving performance. The ...
    • Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Trees 

      Choi, Hyeokho; Hendricks, Brent; Baraniuk, Richard G. (1999-10-01)
      This paper describes a technique for estimating the Kullback-Leibler (KL) distance between two Hidden Markov Models (HMMs), and for measuring the quality of the estimator. It also provides some results based on applying ...
    • Analysis of noise reduction in redundant expansions under distributed processing requirements 

      Rozell, Chris; Johnson, Don (2005-03-01)
      We considered signal reconstruction with redundant expansions under distributed processing in noisy environments. Redundant expansions have the ability to reduce noise corrupting the coefficients, but distributed processing ...
    • Analysis of Robots for Hazardous Environments 

      Harpel, Barbara McLaughlin; Dugan, Joanne Bechta; Walker, Ian D.; Cavallaro, Joseph R. (1997-01-01)
      Reliability analysis of fault tolerant systems often ignores the small probability that a failure might not be detected or, if detected, may not be properly handled. The probability that the failure is detected and properly ...
    • Analysis of Wavelet domain Wiener Filters 

      Choi, Hyeokho; Baraniuk, Richard G. (1998-10-01)
      We investigate Wiener filtering of wavelet coefficients for signal denoising. Empirically designed wavelet-domain Wiener filters outperform many other denoising algorithms based on wavelet thresholding. However, up to now, ...