Now showing items 222-241 of 508

  • M-Band Multiwavelet Systems 

    Burrus, C. Sidney; Fernandes, Felix (1999-03-20)
    In this paper we investigate multiwavelet systems whose scaling functions have disjoint support. We demonstrate that, with the exception of a trivial case, this property may not be attained by two band multiwavelet systems. ...
  • Magnitude Squared Design of Recursive Filters with the Chebyshev Norm Using a Constrained Rational Remez Algorithm 

    Selesnick, Ivan W.; Lang, Markus; Burrus, C. Sidney (1994-05-01)
    We describe a Remez type exchange algorithm for the design of stable recursive filters for which the Chebyschev norm of H(w) - F(w) is minimized, where H(w) and F(w) are the realized and desired magnitude squared frequency ...
  • Magnitude Squared Design of Recursive Filters with the Chebyshev Norm Using a Constrained Rational Remez Algorithm 

    Selesnick, Ivan W.; Lang, Markus; Burrus, C. Sidney (1994-10-01)
    We describe a Remez type exchange algorithm for the design of stable recursive filters for which the Chebyschev norm of H(w) - F(w) is minimized, where H(w) and F(w) are the realized and desired magnitude squared frequency ...
  • Magnitude Weighting and Time Segmentation for Phase-Only Reconstruction of Signals 

    Merchant, G.A.; Parks, T.W. (1981-04-01)
    Phase-only reconstruction of signals and its application to blind-deconvolution were introduced recently by Oppenheim, and by Hayes, et.al. In this report, we briefly present another description of this phase-only ...
  • Marginals vs. Covariance in Joint Distribution Theory 

    Baraniuk, Richard G. (1995-05-01)
    Recently, Cohen has proposed a method for constructing joint distributions of arbitrary physical quantities, in direct generalization of joint time-frequency representations. In this paper, we investigate the covariance ...
  • A Markov Chain Analysis of Blackjack Strategy 

    Wakin, Michael; Rozell, Chris (2004-07-01)
    Blackjack receives considerable attention from mathematicians and entrepreneurs alike, due to its simple rules, its inherent random nature, and the abundance of "prior" information available to an observant player. Many ...
  • Matrix Based Computation of Floating-Point Roundoff Noise 

    Van Veen, Barry D.; Baraniuk, Richard G. (1989-12-01)
    A matrix based procedure is presented for computing the output roundoff noise power for filters implemented with floating-point arithmetic. The filter's computational structure is represented in terms of a product of ...
  • Measurements vs. Bits: Compressed Sensing meets Information Theory 

    Sarvotham, Shriram; Baron, Dror; Baraniuk, Richard G. (2006-09-01)
    Compressed sensing is a new framework for acquiring sparse signals based on the revelation that a small number of linear projections (measurements) of the signal contain enough information for its reconstruction. The ...
  • Measuring Time-Frequency Information and Complexity using the Renyi Entropies 

    Baraniuk, Richard G.; Flandrin, Patrick; Michel, Olivier (1995-09-01)
    In search of a nonparametric indicator of deterministic signal complexity, we link the Renyi entropies to time-frequency representations. The resulting measures show promise in several situations where concepts like the ...
  • Measuring Time-Frequency Information Content using the Renyi Entropies 

    Baraniuk, Richard G.; Flandrin, Patrick; Janssen, A. J. E. M.; Michel, Olivier (2001-05-01)
    The generalized entropies of Renyi inspire new measures for estimating signal information and complexity in the time-frequency plane. When applied to a time-frequency representation (TFR) from Cohen's class or the affine ...
  • Minimax support vector machines 

    Davenport, Mark A.; Baraniuk, Richard G.; Scott, Clayton D. (2007-08-01)
    We study the problem of designing support vector machine (SVM) classifiers that minimize the maximum of the false alarm and miss rates. This is a natural classification setting in the absence of prior information regarding ...
  • Model-based Inverse Halftoning with Wavelet-Vaguelette Deconvolution 

    Neelamani, Ramesh; Nowak, Robert David; Baraniuk, Richard G. (2000-09-01)
    In this paper, we demonstrate based on the linear model of Kite that inverse halftoning is equivalent to the well-studied problem of deconvolution in the presence of colored noise. We propose the use of the simple and ...
  • Modeling wireless sensor and actuator networks using frame theory 

    Rozell, Chris; Johnson, Don (2005-11-01)
    Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuator network, it is advantageous to determine ...
  • Multifractal Cross-Traffic Estimation 

    Ribeiro, Vinay Joseph; Coates, Mark J.; Riedi, Rudolf H.; Sarvotham, Shriram; Hendricks, Brent; Baraniuk, Richard G. (2000-09-01)
    In this paper we develop a novel model-based technique, the Delphi algorithm, for inferring the instantaneous volume of competing cross-traffic across an end-to-end path. By using only end-to-end measurements, Delphi avoids ...
  • Multifractal Formalism for Infinite Multinomial Measures 

    Riedi, Rudolf H.; Mandelbrot, Benoit (1995-01-20)
    There are strong reasons to believe that the multifractal spectrum of DLA shows anomalies which have been termed left sided. In order to show that this is compatible with strictly multiplicative structures Mandelbrot et ...
  • Multifractal products of stochastic processes: construction and some basic properties 

    Mannersalo , Petteri; Riedi, Rudolf H.; Norros , Ilkka (2002-01-15)
    In various fields, such as teletraffic and economics, measured times series have been reported to adhere to multifractal scaling. Classical cascading measures possess multifractal scaling, but their increments form a ...
  • Multifractal Properties of TCP Traffic: a Numerical Study 

    Riedi, Rudolf H.; Vehel, Jacques (1997-10-20)
    We analyze two traces of TCP--traffic recorded at the gateway of a LAN corre­ sponding to two hours at Berkeley and to eight hours at CNET labs respectively. We are mainly interested in a multifractal approach, which we ...
  • Multifractal Signal Models with Application to Network Traffic 

    Crouse, Matthew; Riedi, Rudolf H.; Ribeiro, Vinay Joseph; Baraniuk, Richard G. (1998-08-01)
    In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure ...
  • A Multifractal Wavelet Model for Positive Processes 

    Crouse, Matthew; Riedi, Rudolf H.; Ribeiro, Vinay Joseph; Baraniuk, Richard G. (1998-10-01)
    In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure ...
  • A Multifractal Wavelet Model with Application to Network Traffic 

    Riedi, Rudolf H.; Crouse, Matthew; Ribeiro, Vinay Joseph; Baraniuk, Richard G. (1999-04-01)
    In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure ...