By Topic

IEEE Transactions on Signal Processing

Issue 12 • Date Dec. 2003

Filter Results

Displaying Results 1 - 25 of 32
  • List of reviewers

    Publication Year: 2003, Page(s):3295 - 3301
    Request permission for commercial reuse | PDF file iconPDF (161 KB)
    Freely Available from IEEE
  • Author index

    Publication Year: 2003, Page(s):3302 - 3310
    Request permission for commercial reuse | PDF file iconPDF (240 KB)
    Freely Available from IEEE
  • Subject index

    Publication Year: 2003, Page(s):3310 - 3338
    Request permission for commercial reuse | PDF file iconPDF (383 KB)
    Freely Available from IEEE
  • On the phase condition and its solution for Hilbert transform pairs of wavelet bases

    Publication Year: 2003, Page(s):3293 - 3294
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB) | HTML iconHTML

    In this paper, the phase condition on the scaling filters of two wavelet bases that renders the corresponding wavelets as Hilbert transform pairs is studied. An alternative and equivalent phase condition is derived. With the equivalent condition and using Fourier series expansions, we show that the solution for which the corresponding scaling filters are offset from one another by a half sample is... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Asymptotic properties of subband identification

    Publication Year: 2003, Page(s):3128 - 3142
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1236 KB) | HTML iconHTML

    The purpose of the paper is to study the asymptotic properties (i.e., strong convergence and asymptotic convergence rate) of the subband identification method in every subband and in the overall method. The study of strong convergence aims to answer the question whether the "best possible" model is retrieved, on the limit, with probability one. The study of the asymptotic convergence rate aims to ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Channel estimation for multicarrier multiple input single output systems using the EM algorithm

    Publication Year: 2003, Page(s):3280 - 3292
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (896 KB) | HTML iconHTML

    This paper investigates the problem of blindly and semi-blindly acquiring the channel gains for an underdetermined synchronous multiuser multicarrier system. The special case of a multiple-input single-output (MISO) channel is considered where the different users transmit at the same time and in the same bandwidth. In order to separate the different users blindly, techniques exploiting the finite ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust Gaussian and non-Gaussian matched subspace detection

    Publication Year: 2003, Page(s):3115 - 3127
    Cited by:  Papers (41)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (630 KB) | HTML iconHTML

    We address the problem of matched filter and subspace detection in the presence of arbitrary noise and interference or interfering signals that may lie in an arbitrary unknown subspace of the measurement space. A minmax methodology developed to deal with this uncertainty can also be adapted to situations where partial information on the interference or other uncertainties is available. This method... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fast algorithms for identification of periodically varying systems

    Publication Year: 2003, Page(s):3270 - 3279
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (771 KB) | HTML iconHTML

    The problem of identification/tracking of periodically varying systems is considered. When system coefficients vary rapidly with time, the most frequently used weighted least squares (WLS) and least mean squares (LMS) algorithms are not capable of tracking the changes satisfactorily. To obtain good estimation results, one has to use more specialized adaptive filters, such as the basis function (BF... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Spurious free dynamic range for a digitizing array

    Publication Year: 2003, Page(s):3036 - 3042
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (531 KB) | HTML iconHTML

    The paper addresses the problem of improving the spurious free dynamic range (SFDR) for digitization by use of sensor arrays. Nonlinearities in the analog-to-digital conversion process give rise to spurious signals (harmonics and intermodulation products) that limit the overall SFDR of the digitization process. When the signal of interest arises from a sensor, such as an antenna or hydrophone, the... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Quantization of multiaspect scattering data: target classification and pose estimation

    Publication Year: 2003, Page(s):3105 - 3114
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (799 KB) | HTML iconHTML

    In many sensing scenarios, the observed scattered waveforms must be quantized for subsequent transmission over a communication channel. Rate-distortion theory plays an important role in defining the bit rate required to achieve a desired distortion. The distortion is typically defined in the context of signal reconstruction, with the goal of achieving high-fidelity synthesis of the compressed data... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Stochastic resonance in locally optimal detectors

    Publication Year: 2003, Page(s):3177 - 3181
    Cited by:  Papers (58)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (333 KB) | HTML iconHTML

    The aim of the paper is to show that the nonlinear effect known as stochastic resonance, which corresponds to the improvement of the processing of information by noise, occurs naturally in some detection problems. We illustrate this by studying the problem of detecting a small amplitude sinusoid in non-Gaussian noise. We show that in some cases, the nonlinearity that appears in locally optimal det... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Hermite neural network correlation and application

    Publication Year: 2003, Page(s):3210 - 3219
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB) | HTML iconHTML

    A method for obtaining the correlation of two Hermite neural networks is developed. The method is based on the fact that a Hermite function is unchanged by the Fourier transform, which allows an expression for the correlation to be obtained directly from the network weights without the need for the Fourier transform. Comparative results with other neural network correlation methods are presented o... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An efficient low-complexity technique for MLSE equalizers for linear and nonlinear channels

    Publication Year: 2003, Page(s):3236 - 3248
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (700 KB) | HTML iconHTML

    In this paper, a novel sequence equalizer, which belongs to the family of cluster-based sequence equalizers, is presented. The proposed algorithm achieves the maximum likelihood solution to the equalization problem in a fraction of computational load, compared with the classic maximum likelihood sequence estimation (MLSE) equalizers. The new method does not require the estimation of the channel im... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive minimum symbol-error rate equalization for quadrature-amplitude modulation

    Publication Year: 2003, Page(s):3263 - 3269
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (841 KB) | HTML iconHTML

    We propose the adaptive minimum symbol-error rate algorithm, which is a low-complexity technique for adapting the coefficients of a linear equalizer in systems using pulse-amplitude or quadrature-amplitude modulation. The proposed algorithm very nearly minimizes error probability in white Gaussian noise and can significantly outperform the minimum-mean-squared error equalizer (by as much as 16 dB)... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Bearing estimation for a distributed source of nonconstant modulus ounds and analysis

    Publication Year: 2003, Page(s):3027 - 3035
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB) | HTML iconHTML

    The paper considers the problem of estimating the bearing of a single, far-field source, surrounded by local scatterers, using passive sensor array measurements. An associated source-bearing estimation problem is formulated, and the Crame´r-Rao lower bound is evaluated. In addition, a comprehensive analysis is performed of the maximum likelihood estimates that (due to mismodeling) assume a c... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The KaGE RLS algorithm

    Publication Year: 2003, Page(s):3094 - 3104
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (662 KB) | HTML iconHTML

    A new fast recursive least squares (RLS) algorithm, the Kalman gain estimator (KaGE), is introduced. By making use of RLS interpolation as well as prediction, the algorithm generates the transversal filter weights without suffering the poor numerical attributes of the fast transversal filter (FTF) algorithm. The Kalman gain vector is generated at each time step in terms of interpolation residuals.... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Markovian source separation

    Publication Year: 2003, Page(s):3009 - 3019
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (701 KB) | HTML iconHTML

    A maximum likelihood (ML) approach is used to separate the instantaneous mixtures of temporally correlated, independent sources with neither preliminary transformation nor a priori assumption about the probability distribution of the sources. A Markov model is used to represent the joint probability density of successive samples of each source. The joint probability density functions are estimated... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An algorithm for unit-norm equation error system identification based on the method of multipliers

    Publication Year: 2003, Page(s):3080 - 3085
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (442 KB) | HTML iconHTML

    It is known that the unit-norm constraint for equation-error based system identification is superior to the monic constraint since it produces consistent estimates for white measurement noise and also presents better approximation properties in reduced-order cases. Here, a new algorithm for unit-norm equation-error adaptive filtering is proposed. This scheme is inspired by the constrained optimiza... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Filter design for MIMO sampling and reconstruction

    Publication Year: 2003, Page(s):3164 - 3176
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (925 KB) | HTML iconHTML

    We address the problem of finite impulse response (FIR) filter design for uniform multiple-input multiple-output (MIMO) sampling. This scheme encompasses Papoulis' generalized sampling and several nonuniform sampling schemes as special cases. The input signals are modeled as either continuous-time or discrete-time multiband input signals, with different band structures. We present conditions on th... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Joint state and parameter estimation for a target-directed nonlinear dynamic system model

    Publication Year: 2003, Page(s):3061 - 3070
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (655 KB) | HTML iconHTML

    We present a new approach to joint state and parameter estimation for a target-directed, nonlinear dynamic system model with switching states. The model, recently proposed for representing speech dynamics, is called the hidden dynamic model (HDM). The model parameters, subject to statistical estimation, consist of the target vector and the system matrix (also called "time-constants"), as well as p... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The DSFPN: a new neural network and circuit simulation for optical character recognition

    Publication Year: 2003, Page(s):3198 - 3209
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (614 KB) | HTML iconHTML

    A new type of neural network for recognition tasks is presented. The network, which is called the "dynamic supervised forward-propagation network" (DSFPN), is based on the forward only version of the counterpropagation network (CPN). The novel DSFPN is trained using a supervised algorithm and can grow dynamically during training, allowing allographs in the training data to be learned in an unsuper... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Two-band wavelets and filterbanks over finite fields with connections to error control coding

    Publication Year: 2003, Page(s):3143 - 3151
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (486 KB) | HTML iconHTML

    Recently, we have developed a new framework to study error-control coding using finite-field wavelets and filterbanks (FBs). This framework reveals a rich set of signal processing techniques that can be exploited to investigate new error correcting codes and to simplify encoding and decoding techniques for some existing ones. The paper introduces the theory of wavelet decompositions of signals in ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Formulation and comparison of two detectors of independent timing jitter in a complex harmonic

    Publication Year: 2003, Page(s):3043 - 3052
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (768 KB) | HTML iconHTML

    Two detectors of symmetrically distributed independent timing jitter in a data record composed of a complex harmonic in additive white Gaussian noise are proposed. The proposed detectors are computationally efficient, and although they are formulated using asymptotic results, they may be effectively used with small sample lengths under a wide range of conditions. The conditions required for consis... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Variable-rate data sampling for low-power microsystems using modified Adams methods

    Publication Year: 2003, Page(s):3182 - 3190
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (554 KB) | HTML iconHTML

    A method for variable-rate data sampling is proposed for the purpose of low-power data acquisition in a small footprint microsystem. The procedure enables energy saving by utilizing dynamic power management techniques and is based on the Adams-Bashforth and Adams-Moulton multistep predictor-corrector methods for ordinary differential equations. Newton-Gregory backward difference interpolation form... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A class of regular biorthogonal linear-phase filterbanks: theory, structure, and application in image coding

    Publication Year: 2003, Page(s):3220 - 3235
    Cited by:  Papers (37)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2192 KB) | HTML iconHTML

    This paper discusses a method of regularity imposition onto biorthogonal linear-phase M-band filterbanks using the lattice structure. A lifting structure is proposed for lattice matrix parameterization where regularity constraints can be imposed. The paper focuses on cases with analysis and synthesis filterbanks having up to two degrees of regularity. Necessary and sufficient conditions for regula... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

Aims & Scope

IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens