Now showing items 44-63 of 508

  • Basics of information processing 

    Johnson, Don (2002-01-20)
    Basic probability theory, statistical signal processing and information theory, and inter-relationships among these disciplines form the foundations of a theory of information processing. Examples are drawn from point-process ...
  • A Bayesian Multiscale Approach to Joint Image Restoration and Edge Detection 

    Wan, Yi; Nowak, Robert David (1999-07-20)
    This paper presents a novel wavelet-based method for simultaneous image restoration and edge detection. The Bayesian framework developed here is general enough to treat a wide class of linear inverse problems involving ...
  • Bayesian Tree-Structured Image Modeling 

    Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2000-04-01)
    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 ...
  • Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models 

    Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2001-07-01)
    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 probability density of the wavelet ...
  • Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models 

    Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (1999-07-20)
    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 probability density of the wavelet ...
  • Bayesian Wavelet Domain Image Modeling using 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 statiscal signal and image processing. The hidden Markov tree (HMT) model captures the key features o teh join statistics of the wavelet coefficients ...
  • Benefits of DSP Extra-curricular Activities: A Look at the Texas Instruments DSP and Analog Challenge 

    Robinson, Torrence; Peleg, Nimrod; Rhodes, Jacob; Frantz, Patrick (2002-05-20)
    This paper describes the benefits associated with student and faculty participation in DSP design-related activities that fall outside of the usual university course requirements. It will also describe industry's role in ...
  • Beyond Time Frequency Analysis: Energy Densities in One and Many Dimensions 

    Baraniuk, Richard G. (1994-04-01)
    Given a unitary operator <i>A</i> representing a physical quantity of interest, we employ concepts from group representation theory to define two natural signal energy densities for <i>A</i>. The first is invariant to ...
  • Beyond Time Frequency Analysis: Energy Densities in One and Many Dimensions 

    Baraniuk, Richard G. (1998-09-01)
    Given a unitary operator A representing a physical quantity of interest, we employ concepts from group representation theory to define two natural signal energy densities for A. The first is invariant to A and proves ...
  • Blind Crosstalk Cancellation for DMT Systems 

    Ahmed, Nadeem; Warke, Nirmal; Baraniuk, Richard G. (2002-09-01)
    As the deployment of broadband communication systems such as DSL continues to grow, system performance in terms of capacity and error rates is severely limited by crosstalk interference. In order to continue deploying high ...
  • Blind Quadratic and Time Frequency Based Detectors from Training Data 

    Jones, Douglas L.; Sayeed, Akbar M. (1995-01-20)
    Time-frequency based methods, particularly quadratic (Cohen's-class) representations, are often considered for detection in applications ranging from sonar to machine monitoring. We propose a method of obtaining near-optimal ...
  • Broadcast Detection Structures with Applications to Sensor Networks 

    Johnson, Don; Lexa, Michael (2006-03-01)
    Data broadcasting is potentially an effective and efficient way to share information in wireless sensor networks. Broadcasts offer energy savings over multiple, directed transmissions, and they provide a vehicle to exploit ...
  • A Canonical Covariance Based Method for Generalized Joint Signal Representations 

    Jones, Douglas L.; Sayeed, Akbar M. (1996-04-20)
    Generalized joint signal representations extend the scope of joint time-frequency representations to a richer class of nonstationary signals. Cohen's marginal-based generalized approach is canonical from a distributional ...
  • CAPE - VLSI Implementation of a Systolic Processor Array: Architecture, Design and Testing 

    Hemkumar, Nariankadu D.; Kota, Kishore; Cavallaro, Joseph R. (1991-06-20)
    The SVD is an important matrix decomposition in many real-time signal processing, image processing and robotics applications. Special-purpose processor arrays can achieve significant speed-up over conventioinal architectures ...
  • Channel Estimation for Multirate DS-CDMA Systems 

    Sabharwal, Ashutosh; Mitra, Urbashi; Bhashyam, Srikrishna (2000-11-20)
    The problem of channel estimation for multiple data rate Direct-Sequence Code-Division Multiple-Acess (DS-CDMA) systems is addressed. The derived algorithms are suitable for both variable chipping rate and/or variable ...
  • Coding Theoretic Approach to Image Segmentation 

    Ndili, Unoma (2001-05-20)
    Using a coding theoretic approach, we achieve unsupervised image segmentation by implementing Rissanen's concept of Minimum Description Length for estimating piecewise homogeneous regions in images. MDL offers a mathematical ...
  • Coding Theoretic Approach to Image Segmentation 

    Ndili, Unoma; Nowak, Robert David; Figueiredo, Mario (2001-10-20)
    In this paper, using a coding theoretic approach, we implement Rissanen's concept of minimum description length (MDL) for segmenting an image into piecewise homogeneous regions. Our image model is a Gaussian random field ...
  • Coherent Image Processing using Quaternion Wavelets 

    Chan, Wai Lam; Choi, Hyeokho; Baraniuk, Richard G. (2005-08-01)
    We develop a quaternion wavelet transform (QWT) as a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant, tight frame representation whose coefficients sport a magnitude and three ...
  • Coherent Multiscale Image Processing using Quaternion Wavelets 

    Chan, Wai Lam; Choi, Hyeokho; Baraniuk, Richard G. (2006-10-01)
    The quaternion wavelet transform (QWT) is a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant tight frame representation whose coefficients sport a magnitude and three phases: ...
  • Community Driven Digital Signal Processing Laboratories in Connexions 

    Baraniuk, Richard G.; Choi, Hyeokho; Jones, Douglas L.; Potter, Lee (2004-06-01)
    The conventional textbook is largely inadequate for digital signal processing (DSP) laboratory education due to inherent factors such as a small and fragmented market and rapid hardware obsolescence. Freely available ...