Now showing items 362-381 of 508

  • PARAMETER ESTIMATION FOR VOICED SPEECH SIGNALS 

    WISE, JAMES DALE, JR. (1977)
  • PARAMETRIC AND NON-PARAMETRIC METHODS OF IMPROVING BEARING ESTIMATION IN NARROWBAND PASSIVE SONAR SYSTEMS 

    LINEBARGER, DAREL ALLEN (1987)
    Two approaches--one parametric and one non-parametric--to the source bearing estimation problem for narrowband passive sonar are presented. The parametric technique does not directly involve estimation of a spatial spectrum. ...
  • PathChirp: Efficient Available Bandwidth Estimation for Network Paths 

    Ribeiro, Vinay Joseph; Riedi, Rudolf H.; Baraniuk, Richard G.; Navratil, Jiri; Cottrell, Les (2003-04-01)
    This paper presents <i>PathChirp</i>, a new active probing tool for estimating the available bandwidth on a communication network path. Based on the concept of "self-induced congestion," PathChirp features an exponential ...
  • Phase and Magnitude Perceptual Sensitivities in Nonredundant Complex Wavelet Representations 

    Wakin, Michael; Orchard, Michael; Baraniuk, Richard G.; Chandrasekaran, Venkat (2003-11-01)
    The recent development of a nonredundant complex wavelet transform allows a novel framework for image analysis. Work on this representation has recognized that the phase and magnitude of complex coefficients can be related ...
  • Platelets for Multiscale Analysis in Medical Imaging 

    Willett, Rebecca; Nowak, Robert David (2002-04-20)
    This paper describes the development and use of multiscale, platelet-based image reconstruction algorithms in medical imaging. Such algorithms are effective because platelets approximate images in certain (piecewise) ...
  • Platelets for Multiscale Analysis in Photon-Limited Imaging 

    Willett, Rebecca; Nowak, Robert David (2002-09-20)
    This paper proposes a new multiscale image decomposition based on platelets. Platelets are localized functions at various scales, locations, and orientations that produce piecewise linear image approximations. For smoothness ...
  • Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon-Limited Medical Imaging 

    Willett, Rebecca; Nowak, Robert David (2001-10-20)
    This paper proposes a new multiscale image decomposition based on platelets. Platelets are localized functions at various scales, locations, and orientations that produce piecewise linear image approximations. Platelets ...
  • Polynomial Root Finding 

    Lang, Markus; Frenzel, Bernhard-Christian (1994-10-01)
    Finding polynomial roots rapidly and accurately is an important problem in many areas of signal processing. We present a program which is superior in speed and accuracy to the best methods to our knowledge, i.e., Jenkins/Traub ...
  • A programmable baseband processor design for software defined radios 

    Rajagopal, Sridhar; Rixner, Scott; Cavallaro, Joseph R. (2002-08-20)
    Future wireless systems need extremely fast and flexible architectures to support varying standards, algorithms and protocols with data rates in the range of 10-100 Mbps. Software Defined Radios (SDRs) based on DSP-FPGAs ...
  • Pseudo Affine Wigner Distributions 

    Goncalves, Paulo; Baraniuk, Richard G. (1996-05-01)
    In this paper, we introduce a new set of tools for time-varying spectral analysis: the pseudo affine Wigner distributions. Based on the affine Wigner distributions of J. and P. Bertrand, these new time-scale distributions ...
  • Pseudo Affine Wigner Distributions: Definition and Kernel Formulation 

    Goncalves, Paulo; Baraniuk, Richard G. (1998-06-01)
    In this paper, we introduce a new set of tools for time-varying spectral analysis: the pseudo affine Wigner distributions. Based on the affine Wigner distributions of J. and P. Bertrand, these new time-scale distributions ...
  • Pseudo Power Scale Signatures: Frequency Domain Approach 

    Venkatachalam, Vidya; Aravena, Jorge.L. (2000-03-01)
    In an earlier work, we introduced a new form of signal representation called the <b><i>pseudo power signature (PPS)</i></b> that was essentially independent of the duration of the signal. The signatures were obtained based ...
  • A Pseudo-Bertrand Distribution for Time-Scale Analysis 

    Goncalves, Paulo; Baraniuk, Richard G. (1996-03-01)
    Using the pseudo-Wigner time-frequency distribution as a guide, we derive two new time-scale representations, the pseudo-Bertrand and the smoothed pseudo-Bertrand distributions. Unlike the Bertrand distribution, these ...
  • Quantization of Sparse Representations 

    Boufounos, Petros T.; Baraniuk, Richard G. (2007-01-16)
    Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with randomized basis functions; the signal is then ...
  • Quasi-Circular Rotation Invariance in Image Denoising 

    Wan, Yi; Nowak, Robert David (1999-10-20)
    This paper studies a new method for wavelet-based image denoising which is translation invariant (TI) <b>and</b> rotation invariant (RI). These invariances are crucial in image denoising and, more generally, may play ...
  • Quaternion Wavelets for Image Analysis and Processing 

    Chan, Wai Lam; Choi, Hyeokho; Baraniuk, Richard G. (2004-10-01)
    Using the concepts of two-dimensional Hubert transform and analytic signal, we construct a new quaternion wavelet transform (QWT). The QWT forms a tight frame and can be efficiently computed using a-2-D dual-tree filter ...
  • Queuing analysis of long-range-dependent traffic 

    Ribeiro, Vinay Joseph (1998-04-20)
    None
  • A Radially-Gaussian, Signal-Dependent Time-Frequency Representation 

    Baraniuk, Richard G.; Jones, Douglas L. (1991-04-01)
    An optimization formulation for designing signal-dependent kernels that are based on radially Gaussian functions is presented. The method is based on optimality criteria and is not ad hoc. The procedure is automatic. The ...
  • Random Filters for Compressive Sampling and Reconstruction 

    Baraniuk, Richard G.; Wakin, Michael; Duarte, Marco F.; Tropp, Joel A.; Baron, Dror (2006-05-01)
    We propose and study a new technique for efficiently acquiring and reconstructing signals based on convolution with a fixed FIR filter having random taps. The method is designed for sparse and compressible signals, i.e., ...