Now showing items 923-942 of 1159

    • Representation and Compression of Multi-Dimensional Piecewise Functions Using Surflets 

      Chandrasekaran, Venkat; Wakin, Michael; Baron, Dror; Baraniuk, Richard G. (2006-03-01)
      We study the representation, approximation, and compression of functions in M dimensions that consist of constant or smooth regions separated by smooth (M-1)-dimensional discontinuities. Examples include images containing ...
    • Resource allocation and capacity in wireless CDMA networks using adaptive power control and antenna array multiuser receiver 

      Guo, Yuanbin; Aazhang, Behnaam (2000-10-20)
      In this paper we developed a framework for resource allocation in multi-class traffic CDMA system using adaptive power control and antenna array multiuser receiver. We devised a new scheme in which both transmit power and ...
    • Resource Allocation in Wireless CDMA Multimedia Networks 

      Guo, Yile (1999-05-20)
      In this thesis we developed a resource allocation framework for wireless code division multiple access (CDMA) networks that support multi-class traffic with different data rates and bit error rate requirements. We proposed ...
    • Results on Distributed Processor Scheduling with Limited Memory 

      Gonsalves, Timothy (1978-06-20)
      This paper is a study of scheduling on a 2-processor distributed system when one processor has a limited memory. A program is assumed to consist of a set of sequentially executing modules and is represented by Stone's ...
    • Risk and Fault Tolerance Analysis for Robotics and Manufacturing 

      Hamilton, Deirdre L.; Cavallaro, Joseph R.; Walker, Ian D. (1996-05-01)
      This paper describes a novel method for analyzing, within one framework, several important types of risk associated with robotics and manufacturing applications. We will build on the established technique of Fault Tree ...
    • Robot Fault Detection and Fault Tolerance: A Survey 

      Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D. (1994-01-01)
      Fault tolerance is increasingly important for robots, especially those in remote or hazardous environments. Robots need the ability to effectively detect and tolerate internal failures in order to continue performing their ...
    • Robot Reliability Estimation Using Interval Methods 

      Carreras, Carlos; Walker, Ian D.; Nieto, Octavio; Cavallaro, Joseph R. (1999-02-24)
      Reliability is a critical issue for many robotic applications, where failures can be disastrous. Traditional reliability analysis algorithms depend on the algebraic manipulation of given input data (representing subsystem ...
    • Robot Reliability Through Fuzzy Markov Models 

      Leuschen, Martin L. (1997-04-20)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot Reliability Through Fuzzy Markov Models 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (1998-01-01)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot Reliability Using Fuzzy Fault Trees and Markov Models 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (1996-11-01)
      Robot reliability has become an increasingly important issue in the last few years, in part due to the increased application of robots in hazardous and unstructured environments. However, much of this work leads to complex ...
    • Robotic Fault Detection Using Nonlinear Analytical Redundancy 

      Leuschen, Martin L.; Cavallaro, Joseph R.; Walker, Ian D. (2002-05-01)
      In this paper we discuss the application of our recently developed nonlinear analytical redundancy (NLAR) fault detection technique to a two-degree of freedom robot manipulator. NLAR extends the traditional linear AR ...
    • Robotic Fault Tolerance: Algorithms and Architectures 

      Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D. (1993-04-01)
      Fault tolerance is an essential factor in ensuring successful autonomous systems, especially for robots working in remote or hazardous environments. To avoid the cost and risk involved in sending humans into these environs ...
    • Robust Distributed Estimation in Sensor Networks using the Embedded Polygons Algorithm 

      Delouille, Veronique; Neelamani, Ramesh; Baraniuk, Richard G. (2004-04-01)
      We propose a new iterative distributed algorithm for linear minimum mean-squared-error (LMMSE) estimation in sensor networks whose measurements follow a Gaussian hidden Markov graphical model with cycles. The <i>embedded ...
    • Robust Distributed Estimation Using the Embedded Subgraphs Algorithm 

      Delouille, Veronique; Neelamani, Ramesh; Baraniuk, Richard G. (2006-08-01)
      We propose a new iterative, distributed approach for linear minimum mean-square-error (LMMSE) estimation in graphical models with cycles. The embedded subgraphs algorithm (ESA) decomposes a loopy graphical model into a ...
    • Robust Slope Region for Wideband CDMA With Multiple Antennas 

      Muharemovic, Tarik; Aazhang, Behnaam (2003-04-01)
      We analyze a low power, wideband CDMA system with multiple antennas. The joint "slope region" - of transmission rates at minimum energy per bit - is derived as a function of proportion between vanishing rates for multiple ...
    • Robust Solution of the Linear Servomechanism Problem 

      Staats, P.W.; Pearson, J.B. (1974-09-01)
      This paper furnishes a complete solution to the problem of designing robust controllers for linear servomechanisms. The results complete the work begun in [1] in that arbirary exogenous signals are included in the problem ...
    • Robustness in Parameter Estimation 

      Papantoni-Kazakos, P. (1975-10-20)
      Due to vagueness in the definition of robustness, there has been no natural transition between robust and nonparametric parameter estimators. In this work, qualitative ideas first expressed by Hampel [1] are extended in ...
    • RSIM Reference Manual: Version 1.0 

      Pai, Vijay S.; Ranganathan, Parthasarathy; Adve, Sarita V. (1997-08-20)
      Simulation has emerged as an important method for evaluating new ideas in both uniprocessor and multiprocessor architecture. Compared to building real hardware, simulation provides at least two advantages. First it ...
    • RSIM: An Execution-Driven Simulator for ILP-Based Shared-Memory Multiprocessors and Uniprocessors 

      Pai, Vijay S.; Ranganathan, Parthasarathy; Adve, Sarita V. (1997-10-20)
      None
    • Rsim: Simulating Shared-Memory Multiprocessors with ILP Processors 

      Hughes, Christopher J.; Pai, Vijay S.; Ranganathan, Parthasarathy; Adve, Sarita V. (2002-02-20)
      Rsim is a publicly available architecture simulator for shared-memory systems built from processors that aggressively exploit instruction-level parallelism. Modeling ILP features in a multiprocessor is particularly important ...