Now showing items 1570-1589 of 1918

    • Sensitivity of Achievable Rates for Half-Duplex Relay Channel 

      Chakrabarti, Arnab; Sabharwal, Ashutosh; Aazhang, Behnaam (2005-06-01)
      This paper investigates the sensitivity of achievable rates for the half-duplex AWGN relay channel to the choice of modulation, receiving time fraction, and source-relay correlation. Our study is motivated by practical ...
    • Sequential gradient-restoration algorithm for optimal control problems with general boundary conditions 

      Gonzalez, Salvador (1978)
      This thesis considers the numerical solution of two classes of optimal control problems, called Problem P1 and Problem P2 for easy identification. Problem P1 involves a functional I subject to differential constraints and ...
    • Sharing Knowledge and Building Communities in Signal Processing 

      Baraniuk, Richard G.; Burrus, C. Sidney; Johnson, Don; Jones, Douglas L. (2004-09-01)
      The textbook has traditionally been the fundamental tool of university teaching. The text both serves as the repository of facts and information and provides the recommended structure and sequence for teaching and learning ...
    • Shear Madness: New Orthonormal Bases and Frames Using Chirp Functions 

      Baraniuk, Richard G.; Jones, Douglas L. (1993-12-01)
      The proportional-bandwidth and constant-bandwidth time-frequency signal decompositions of the wavelet, Gabor, and Wilson orthonormal bases have attracted substantial interest for representing nonstationary signals. However, ...
    • Shift-Invariant Denoising using Wavelet-Domain Hidden Markov Trees 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (1999-10-20)
      Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients ...
    • Shift-Invariant Denoising using Wavelet-Domain Hidden Markov Trees 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (1999-10-01)
      Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients ...
    • Shot noise detection in hBN-based tunnel junctions 

      Zhou, Panpan; Hardy, Will J.; Watanabe, Kenji; Taniguchi, Takashi; Natelson, Douglas (2017)
      High quality Au/hBN/Au tunnel devices are fabricated using transferred atomically thin hexagonal boron nitride as the tunneling barrier. All tunnel junctions show tunneling resistance on the order of several kΩ/μm2. Ohmic ...
    • ShuFFLE: Automated Framework for HArdware Accelerated Iterative Big Data Analysis 

      Mohammadgholi Songhori, Ebrahim (2014-10-22)
      This thesis introduces ShuFFLE, a set of novel methodologies and tools for automated analysis and hardware acceleration of large and dense (non-sparse) Gram matrices. Such matrices arise in most contemporary data mining; ...
    • Signal and Information Processing for Wireless Communication Systems 

      Bhashyam, Srikrishna (2001-04-20)
      Next generation wireless communication systems need to support access to multimedia data available on the internet. This universal wireless access to multimedia data requires data rates and quality of service that are ...
    • Signal and information processing for wireless communication systems 

      Bhashyam, Srikrishna (2001)
      Next generation wireless communication systems need to support access to multimedia data available on the internet. This universal wireless access to multimedia data requires data rates and quality of service that are ...
    • Signal constellation design for Gaussian and non-Gaussian channels 

      Li, Dongmei (1995)
      Optimum signal constellation design is crucial to the design of high-performance digital communication systems. Variation in signal set can dramatically change the system performance. Our goal is to design constellations, ...
    • A Signal Dependent Time Frequency Representation: Optimal Kernel Design 

      Baraniuk, Richard G.; Jones, Douglas L. (1993-04-01)
      Time-frequency distributions (TFDs), which indicate the energy content of a signal as a function of both time and frequency, are powerful tools for time-varying signal analysis. The lack of a single distribution that is ...
    • Signal Estimation using Wavelet-Markov Models 

      Crouse, Matthew; Baraniuk, Richard G.; Nowak, Robert David (1997-04-01)
      Current wavelet-based statistical signal and image processing techniques such as shrinkage and filtering treat the wavelet coefficients as though they were statistically independent. This assumption is unrealistic; considering ...
    • The Signal Processing Information Base 

      Johnson, Don; Shami, P N (1993-10-20)
      The SPIB (Signal Processing Information Base) project at Rice University is discussed. This information base will provide the signal processing researcher and the applications engineer with data, programs, and papers that ...
    • SIGNAL PROCESSING TECHNIQUES BASED ON SPLINE FUNCTIONS 

      NETRAVALI, ARUN NARAYAN (1971)
    • Signal Transform Covariant to Scale Changes 

      Baraniuk, Richard G. (1993-09-01)
      A unitary signal transformation that is covariant by translation to scale changes (dilations and compressions) in the signal is formulated and justified. Unlike the Mellin transform, which is invariant to scale changes, ...
    • Signal-Dependent Time-Frequency Analysis using a Radially Gaussian Kernel 

      Baraniuk, Richard G.; Jones, Douglas L. (1993-01-15)
      Time-frequency distributions are two-dimensional functions that indicate the time-varying frequency content of one-dimensional signals. Each bilinear time-frequency distribution corresponds to a kernel function that ...
    • A Signal-Dependent Time-Frequency Representation: Fast Algorithm for Optimal Kernel Design 

      Baraniuk, Richard G.; Jones, Douglas L. (1994-01-01)
      A time-frequency representation based on an optimal, signal-dependent kernel has been proposed recetnly in an attempte to overcome one of the primary limitations of bilinear time-frequency distributions: that the best ...
    • Silicon Photonic Devices for Optical Computing 

      Qiu, Ciyuan (2013-11-26)
      The requirement for high performance computer will be significantly increased by the fast development of the internet. However, traditional CMOS computer will meet its bottleneck due to the miniaturization problem. Optical ...