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IEEE Transactions on Signal Processing

Issue 1 • Date Jan. 1999

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Displaying Results 1 - 25 of 38
  • Abstracts of manuscripts in review

    Publication Year: 1999, Page(s):280 - 282
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    Freely Available from IEEE
  • An affine scaling methodology for best basis selection

    Publication Year: 1999, Page(s):187 - 200
    Cited by:  Papers (204)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB)

    A methodology is developed to derive algorithms for optimal basis selection by minimizing diversity measures proposed by Wickerhauser (1994) and Donoho (1994). These measures include the p-norm-like (l(p⩽1)) diversity measures and the Gaussian and Shannon entropies. The algorithm development methodology uses a factored representation for the gradient and involves successive relaxati... View full abstract»

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  • Using genetic algorithms and neural networks for surface land mine detection

    Publication Year: 1999, Page(s):176 - 186
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    Knowledge based techniques have been used to automatically detect surface land mines present in thermal and multispectral images. Polarization-sensitive infrared sensing is used to highlight the polarization signature of man-made targets such as land mines over natural features in the image. Processing the thermal polarization images using a background-discrimination algorithm, we were able to suc... View full abstract»

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  • Stable signal and image reconstruction from noisy Fourier transform phase

    Publication Year: 1999, Page(s):244 - 250
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB)

    The problem of reconstruction of finite signals and images from the noisy Fourier transform phase is addressed. The problem is pointed out to be ill-posed with respect to distortion in the phase. Regularizing reconstruction algorithms are proposed that significantly improve estimates of signals or images reconstructed from their noisy phases View full abstract»

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  • Optimal linear filtering under parameter uncertainty

    Publication Year: 1999, Page(s):168 - 175
    Cited by:  Papers (181)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    This paper addresses the problem of designing a guaranteed minimum error variance robust filter for convex bounded parameter uncertainty in the state, output, and input matrices. The design procedure is valid for linear filters that are obtained from the minimization of an upper bound of the error variance holding for all admissible parameter uncertainty. The results provided generalize the ones a... View full abstract»

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  • A new fast block adaptive algorithm

    Publication Year: 1999, Page(s):75 - 87
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB)

    This paper describes a novel efficient algorithm appropriate for adapting filters of long order. The scheme is an exact block processing counterpart of the fast Newton transversal filtering algorithm. The filters required by the algorithm blocks are much smaller than the filter length, and the obtained estimates are mathematically equivalent to those of the sample-by-sample version. This leads to ... View full abstract»

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  • Multipath time-delay detection and estimation

    Publication Year: 1999, Page(s):237 - 243
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    A transmitted and known signal is observed at the receiver through more than one path in additive noise. The problem is to estimate the number of paths and, for each of them, the associated attenuation and delay. We propose a deconvolution approach with an additive regularization term built around an l1 norm. The underlying optimization problem is transformed into a quadratic program an... View full abstract»

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  • Second-order statistics-based blind equalization of IIR single-input multiple-output channels with common zeros

    Publication Year: 1999, Page(s):147 - 157
    Cited by:  Papers (13)  |  Patents (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB)

    The problem of blind equalization of single-input multiple-output (SIMO) communications channels is considered using only the second-order statistics of the data. Such models arise when a single receiver data is fractionally sampled (assuming that there is excess bandwidth) or when an antenna array is used with or without fractional sampling. We focus on direct design of finite-length minimum mean... View full abstract»

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  • Direct blind equalizers of multiple FIR channels: a deterministic approach

    Publication Year: 1999, Page(s):62 - 74
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB)

    Blind equalization of single-input multi-output channels has practical value for inverse problems encountered in communications, sonar, and seismic data processing. Relying on diversity (sufficient number of multiple outputs), we bypass the channel estimation step and derive direct blind FIR equalizers of co-prime FIR channels. There are no constraints on the inaccessible input, apart from a minim... View full abstract»

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  • Estimating two-dimensional frequencies by a cumulant-based FBLP method

    Publication Year: 1999, Page(s):262 - 266
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB)

    This correspondence presents a higher order statistics (HOS) based modified version of the two-dimensional forward-backward linear prediction (2-D FBLP) method. The modified method is suitable for estimating 2-D frequencies of a 2-D data set observed in white or colored Gaussian noise (W/CGN) of unknown covariance. Simulation results are provided to verify the effectiveness of the proposed method View full abstract»

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  • Non-Gaussian characterization of DS/CDMA noise in few-user systems with complex signature sequences

    Publication Year: 1999, Page(s):234 - 237
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB)

    An higher order statistics (HOS) based analysis of the non-Gaussian characteristics of the DS/CDMA global noise and a non-Gaussian evaluation of the expected BER, in few-user systems with complex signature sequences, are performed. Different error-rate performances provided by binary Gold and four-phase even-odd equivalent-Gold (EOE-Gold) spreading sequences are also considered View full abstract»

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  • Shift covariant time-frequency distributions of discrete signals

    Publication Year: 1999, Page(s):133 - 146
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    Many commonly used time-frequency distributions are members of the Cohen (1989) class. This class is defined for continuous signals, and since time-frequency distributions in the Cohen class are quadratic, the formulation for discrete signals is not straightforward. The Cohen class can be derived as the class of all quadratic time-frequency distributions that are covariant to time shifts and frequ... View full abstract»

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  • Estimating rate constants in hidden Markov models by the EM algorithm

    Publication Year: 1999, Page(s):226 - 228
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB)

    The EM algorithm, e.g., the Baum-Welch (1970) re-estimation, is an important tool for parameter estimation in discrete-time hidden Markov models. We present a direct re-estimation of rate constants for applications in which the underlying Markov process is continuous in time. Previous estimation of discrete-time transition probabilities is not necessary View full abstract»

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  • Direction finding with fewer receivers via time-varying preprocessing

    Publication Year: 1999, Page(s):2 - 9
    Cited by:  Papers (22)  |  Patents (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    We present a new technique for localizing multiple narrowband sources by a passive sensor array based on dimensionality-reducing time-varying preprocessing of the sensor outputs. The technique allows a significant reduction in the number of receivers required for the implementation with only two receivers sufficing in the extreme case. The estimation method we use is based on approximating the cor... View full abstract»

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  • Fast computation of the exact FIM for deterministic signals in colored noise

    Publication Year: 1999, Page(s):52 - 61
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    A fast algorithm for computing the exact finite-sample Fisher information matrix (FIM) for the parameters of a deterministic signal observed in Gaussian AR noise is derived. In the case of a harmonic signal with random phases, closed-form expressions for the finite-sample posterior Cramer-Rao bound (PCRB) are established. It is shown that the fast algorithm is also useful for computing the conditi... View full abstract»

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  • Teager energy and the ambiguity function

    Publication Year: 1999, Page(s):260 - 262
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (112 KB)

    The connection between the Teager energy operator and the ambiguity function is established in this correspondence after defining the Teager operator over complex-valued signals. This relation allows the use of the Teager energy in estimating the second moment angular bandwidth and the moments of a signal duration (spread) and that of its spectrum View full abstract»

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  • Progressive wavelet correlation using Fourier methods

    Publication Year: 1999, Page(s):97 - 107
    Cited by:  Papers (23)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    This paper derives a multiresolution analysis technique for performing correlations on wavelet representations of images. The technique maps the images into the wavelet-frequency domain to take advantage of high-speed correlation in the frequency domain. It builds on Vaidyanathan's (1993) wavelet correlation theorem, which shows that subsamples of correlations of two signals can be obtained from a... View full abstract»

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  • Optimal parameter selection in the phase differencing algorithm for 2-D phase estimation

    Publication Year: 1999, Page(s):273 - 279
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    A parametric model and a corresponding algorithm for estimating two-dimensional (2-D) phase functions were presented in a previous paper. The performance of the phase estimation algorithm and, hence, the performance of any algorithm that employs it, strongly depends on the choice of the two free parameters of the algorithm. In this correspondence, we systematically analyze the performance of the p... View full abstract»

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  • A least squares approach to blind beamforming

    Publication Year: 1999, Page(s):231 - 234
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (124 KB)

    We present a least squares approach to blind beamforming. Two estimation criteria are derived. One turns out to coincide with the Comon (1990, 1994) criterion, whereas the other is a computationally simpler criterion similar in nature to the joint approximate diagonalization of eigenmatrices (JADE) criterion View full abstract»

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  • Sequential algorithms for observation selection

    Publication Year: 1999, Page(s):123 - 132
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (452 KB)

    Some signal reconstruction problems allow for flexibility in the selection of observations and, hence, the signal formation equation. In such cases, we have the opportunity to determine the best combination of observations before acquiring the data. We present and analyze two classes of sequential algorithms to select observations-sequential backward selection (SBS) and sequential forward selectio... View full abstract»

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  • Wavelet packet transform initialization for piecewise polynomial and bandlimited inputs

    Publication Year: 1999, Page(s):224 - 226
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (156 KB)

    This paper considers the problem of initializing the wavelet packet transform when the analog input x(t) is either bandlimited or else is piecewise polynomial on the dyadic intervals. This is accomplished by the construction of certain prefilter sequences that are applied to the samples {xk|xk=x(kT)} (T is the sampling period). In the piecewise polynomial case, the prefilter ... View full abstract»

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  • Generalized Gaussian modeling of correlated signal sources

    Publication Year: 1999, Page(s):217 - 219
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB)

    A generalized Gaussian model for correlated signal sources is introduced. The probability density function of a first-order autoregressive process driven by generalized Gaussian white noise is approximated by a generalized Gaussian probability density function. The interdependence between the correlation coefficient and the shape parameter of the first-order autoregressive process and the shape pa... View full abstract»

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  • Optimal pulse shape for estimating positions of superimposed pulses

    Publication Year: 1999, Page(s):210 - 212
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (120 KB)

    In this correspondence, we determine the optimal pulse shape for estimating positions of superimposed pulses by deriving the Cramer-Rao lower bound (CRLB) on the average estimation error variance and numerically optimizing it with respect to pulse shape. Our results show that a significant improvement in estimation error variance can be achieved relative to Gaussian and rectangular pulse shapes View full abstract»

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  • Stochastic theory of continuous-time state-space identification

    Publication Year: 1999, Page(s):41 - 51
    Cited by:  Papers (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB)

    This paper presents theory, algorithms, and validation results for system identification of continuous-time state-space models from finite input-output sequences. The algorithms developed are methods of subspace model identification and stochastic realization adapted to the continuous-time context. The resulting model can be decomposed into an input-output model and a stochastic innovations model.... View full abstract»

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  • Wideband maximum likelihood direction finding and signal parameter estimation by using the tree-structured EM algorithm

    Publication Year: 1999, Page(s):201 - 206
    Cited by:  Papers (9)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (196 KB)

    The expectation maximization (EM) algorithm is presented for the case of estimating direction of arrivals of unknown deterministic wideband signals. Alternative regularized least squares estimation techniques for the required signal estimation and a tree structure for the data mapping in the EM algorithm are proposed. Extensive simulation results are presented for comparison of the proposed algori... View full abstract»

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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