Now showing items 859-878 of 1047

  • Safety of Robotic Systems - Guest Editorial 

    Petersen, Kurt E.; Walker, Ian D.; Cavallaro, Joseph R. (1996-09-01)
    We were delighted to be invited by the editors of Reliability Engineering and System Safety to organise a special issue on the Safety of Robotic Systems. Robotic systems have now reached a level of sophistication far ...
  • Scalable and Low Power LDPC Decoder Design Using High Level Algorithmic Synthesis 

    Sun, Yang; Cavallaro, Joseph R.; Ly, Tai (2009-09-01)
    This paper presents a scalable and low power low-density parity-check (LDPC) decoder design for the next generation wireless handset SoC. The methodology is based on high level synthesis: PICO (program-in chip-out) tool ...
  • Scalable Architecture of MIMO Multi-carrier CDMA System on Programmable Logic 

    Guo, Yuanbin; Cavallaro, Joseph R. (2007-11-01)
    In this paper, a scalable architecture of the multicarrier CDMA system using Multiple-Input-Multiple-Output (MIMO) technology is designed in the programmable logic array. The system-level partitioning with different ...
  • Scalable FPGA Architectures for LMMSE-based SIMO Chip Equalizer in HSDPA Downlink 

    Guo, Yuanbin; McCain, Dennis; Zhang, Jianzhong (Charlie); Cavallaro, Joseph R. (2003-11-01)
    In this paper, scalable FPGA architectures for the LMMSE-based chip-level equalizer in HSDPA downlink re-ceivers are studied. An FFT-based algorithm is applied to avoid the direct matrix inverse by utilizing the block-Toeplitz ...
  • SCAN - Speech Content Based Audio Navigator: A Systems Overview 

    Choi, John; Hindle, Don; Hirschberg, Julia; Magrin-Chagnolleau, Ivan; Nakatani, Christine; Pereira, Fernando; Singhal, Amit; Whittaker, Steve (1998-01-15)
    SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support query-based retrieval of information ...
  • Second-Order Statistical Measures for Text-Independent Speaker Identification 

    Bimbot, Frederic; Magrin-Chagnolleau, Ivan (1995-08-20)
    This article presents an overview of several measures for speaker recognition. These measures relate to second-order statistical tests, and can be expressed under a common formalism. Alternate formulations of these measures ...
  • Semi-Parallel Architectures For Real-time LDPC Coding 

    Karkooti, Marjan (2004-05-01)
    Error correcting codes (ECC) enable the communication systems to have a low-power, reliable transmission over noisy channels. ow Density Parity Check codes are the best known ECC code that can achieve data rates very close ...
  • Semi-parallel Reconfigurable Architectures for Real-time LDPC Decoding 

    Karkooti, Marjan; Cavallaro, Joseph R. (2004-04-01)
    This paper presents a semi-parallel architecture for decoding Low Density Parity Check (LDPC) codes. A modified version of Min-Sum algorithm has been used which has the advantage of simpler computations compared to Sum-Product ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 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 ...