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IEEE Transactions on Signal Processing

Issue 11 • Nov 1999

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Displaying Results 1 - 25 of 32
  • Minimax deconvolution design of multirate systems with channel noises: a unified approach

    Publication Year: 1999, Page(s):3145 - 3149
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    The conventional signal reconstruction problem of multirate systems with channel noises can be cast as a robust multirate deconvolution design problem. We investigate a unified minimax approach for the robust deconvolution design of multirate systems. We discuss two typical multirate systems: the multirate filter bank system and the transmultiplexer system. We consider transmission noises resultin... View full abstract»

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  • Denoising by singularity detection

    Publication Year: 1999, Page(s):3139 - 3144
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    A new algorithm for noise reduction using the wavelet transform is proposed. Similar to Mallat's (1992) wavelet transform modulus maxima denoising approach, we estimate the regularity of a signal from the evolution of its wavelet transform coefficients across scales. However, we do not perform maxima detection and processing; therefore, complicated reconstruction is avoided. Instead, the local reg... View full abstract»

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  • On the implementation of nonseparable two-dimensional Haar wavelet transforms

    Publication Year: 1999, Page(s):3137 - 3139
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB)

    We introduce a transformation to localize the equations defining the successive levels of the Mallat (1989) pyramid for two-dimensional (2-D) Haar wavelets. We propose a methodology for implementing these wavelet transforms in parallel architectures like systolic arrays. More specifically, we show that there is a perfect match between the wavelet algorithms and the multiphase multirate array (MPRA... View full abstract»

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  • Periodicity transforms

    Publication Year: 1999, Page(s):2953 - 2964
    Cited by:  Papers (65)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    This paper presents a method of detecting periodicities in data that exploits a series of projections onto “periodic subspaces”. The algorithm finds its own set of nonorthogonal basis elements (based on the data), rather than assuming a fixed predetermined basis as in the Fourier, Gabor, and wavelet transforms. A major strength of the approach is that it is linear-in-period rather than... View full abstract»

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  • An order downdating algorithm for tracking system order and parameters in recursive least squares identification

    Publication Year: 1999, Page(s):3134 - 3137
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB)

    A new time and order recursive method for on-line tracking of system order and parameters using recursive least squares (RLS) is presented. The method consists of two parts: a time updating portion that uses existing RLS inverse QR decomposition algorithms and a new computationally efficient “order downdating” portion that calculates the model parameters and residual error energies for... View full abstract»

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  • The kriging update model and recursive space-time function estimation

    Publication Year: 1999, Page(s):2942 - 2952
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    We present a method for efficiently fitting a time series of spatial functions to observed data. The method is closely related to kriging, which is an interpolation method based on a stochastic data model. While kriging is effective and versatile for estimating individual functions from observed data, it must be extended to incorporate temporal correlation. In this paper, we introduce temporal cor... View full abstract»

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  • Quadrature receiver mismatch calibration

    Publication Year: 1999, Page(s):3130 - 3133
    Cited by:  Papers (32)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB)

    This article introduces nonlinear regression techniques to estimate gain and phase mismatches between the in-phase (I) and quadrature (Q) branches of a quadrature receiver. Under modest assumptions, the system intrinsically follows a nonlinear regression model. The algorithm is effective, easily implemented, customizable, and requires few assumptions. Large-sample, jackknife, and bootstrap techniq... View full abstract»

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  • Volterra system identification and Kramer's sampling theorem

    Publication Year: 1999, Page(s):3152 - 3155
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (156 KB)

    Nonlinear systems increase signal bandwidth, but Volterra systems may be identified uniquely even when the output is sampled at the Nyquist rate of the input. We present a more transparent and general proof. Using the theory of sampling expansions for general integral transforms, we permit the sampling to be nonuniform View full abstract»

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  • One- and two-dimensional minimum and nonminimum phase retrieval by solving linear systems of equations

    Publication Year: 1999, Page(s):2978 - 2989
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    The discrete phase retrieval problem is to reconstruct a discrete time signal whose support is known and compact from the magnitude of its discrete Fourier transform. We formulate the problem as a linear system of equations; our methods do not require polynomial rooting, tracking zero curves of algebraic functions, or any sort of iteration like previous methods. Our solutions obviate the stagnatio... View full abstract»

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  • Adaptive blind channel estimation by least squares smoothing

    Publication Year: 1999, Page(s):3000 - 3012
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    A least squares smoothing (LSS) approach is presented for the blind estimation of single-input multiple-output (SIMO) finite impulse response systems. By exploiting the isomorphic relation between the input and output subspaces, this geometrical approach identifies the channel from a specially formed least squares smoothing error of the channel output. LSS has the finite sample convergence propert... View full abstract»

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  • Cramer-Rao bounds and maximum likelihood estimation for random amplitude phase-modulated signals

    Publication Year: 1999, Page(s):2905 - 2916
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    The problem of estimating the phase parameters of a phase-modulated signal in the presence of colored multiplicative noise (random amplitude modulation) and additive white noise (both Gaussian) is addressed. Closed-form expressions for the exact and large-sample Cramer-Rao Bounds (CRBs) are derived. It is shown that the CRB is significantly affected by the color of the modulating process when the ... View full abstract»

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  • Tree-structured nonlinear signal modeling and prediction

    Publication Year: 1999, Page(s):3027 - 3041
    Cited by:  Papers (9)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    We develop a regression tree approach to identification and prediction of signals that evolve according to an unknown nonlinear state space model. In this approach, a tree is recursively constructed that partitions the p-dimensional state space into a collection of piecewise homogeneous regions utilizing a 2p-ary splitting rule with an entropy-based node impurity criterion. On this part... View full abstract»

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  • BEACON: an adaptive set-membership filtering technique with sparse updates

    Publication Year: 1999, Page(s):2928 - 2941
    Cited by:  Papers (62)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    This paper deals with adaptive solutions to the so-called set-membership filtering (SMF) problem. The SMF methodology involves designing filters by imposing a deterministic constraint on the output error sequence. A set-membership decision feedback equalizer (SM-DFE) for equalization of a communications channel is derived, and connections with the minimum mean square error (MMSE) DFE are establish... View full abstract»

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  • Direction-of-arrival estimation for constant modulus signals

    Publication Year: 1999, Page(s):3125 - 3129
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (164 KB)

    In many cases where direction finding is of interest, the signals impinging on an antenna array are known to be phase modulated and, hence, to have a constant modulus (CM). This is a strong property; by itself, it is already sufficient for source separation and can be used to construct improved direction finding algorithms. We first derive the relevant Cramer-Rao bounds (CRBs) for arbitrary array ... View full abstract»

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  • A parallel implementation of the 2-D discrete wavelet transform without interprocessor communications

    Publication Year: 1999, Page(s):3179 - 3184
    Cited by:  Papers (14)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (172 KB)

    The discrete wavelet transform is currently attracting much interest among researchers and practitioners as a powerful tool for a wide variety of digital signal and imaging processing applications. This article presents an efficient approach to compute the two-dimensional (2-D) discrete wavelet transform in standard form on parallel general-purpose computers. This approach does not require transpo... View full abstract»

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  • Nonparametric narrowband wavefront estimation from wavefront gradients

    Publication Year: 1999, Page(s):3116 - 3121
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (356 KB)

    The wavefield sampled by a two-dimensional (2-D) planar array can he characterized by a delayed signal. This correspondence investigates the problem of the nonparametric estimation of the delay function (or wavefront) when the waveform is narrowband. The wavefront is estimated by integrating the local estimates of the differential time of delay (TOD) of the waveform between neighboring sensors. Th... View full abstract»

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  • An estimation on the output mean value of median filtering at edge location

    Publication Year: 1999, Page(s):3149 - 3152
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (108 KB)

    Median filtering is a simple and efficient method in signal processing. Examples show that it is better than the mean filtering in preserving edges. Until now, however, this property has not been proven in theory. When a step edge having the values of -h and h is corrupted by zero-mean noise, we guess that the output mean value of the median filtering at the first edge point lies in the interval (... View full abstract»

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  • Adaptive predictor based on maximally flat halfband filter in lifting scheme

    Publication Year: 1999, Page(s):2965 - 2977
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    For complex short time-varying signals, a high-order predictor does not always yield good performance. For this, we investigate the use of a short-order adaptive predictor. Since the maximally flat filters are the optimal predictors for polynomial signal prediction, the adaptation is based on the combination of a set of maximally flat filters. For compression efficiency, the dynamic ranges of the ... View full abstract»

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  • Another stopping rule for linear iterative signal restoration

    Publication Year: 1999, Page(s):3156 - 3159
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB)

    A new stopping rule is proposed for linear, iterative signal restoration using the gradient descent and conjugate gradient algorithms. The stopping rule attempts to minimize MSE under the assumption that the signal arises from a white noise process. This assumption is appropriate for many coherent imaging applications. The stopping rule is trivial to compute and, for fixed relaxation parameters, c... View full abstract»

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  • An analysis of constant modulus receivers

    Publication Year: 1999, Page(s):2990 - 2999
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    This paper investigates connections between (non-blind) Wiener receivers and blind receivers designed by minimizing the constant modulus (CM) cost. Applicable to both T-spaced and fractionally spaced FIR equalization, the main results include (1) a test for the existence of CM local minima near Wiener receivers; (2) an analytical description of CM receivers in the neighborhood of Wiener receivers;... View full abstract»

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  • Filter design and comparison for two fast CWT algorithms

    Publication Year: 1999, Page(s):3013 - 3026
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    The continuous wavelet transform (CWT) is a powerful technique for signal analysis. Direct CWT computation by FFT requires O(N log2 N) operations per scale, where N is the data length. The a trous algorithm and the Shensa (1992) algorithm are two fast methods to compute CWT recursively that require only O(N) operations per scale. Both of them can be described by the multiresolution ana... View full abstract»

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  • Barankin bounds for source localization in an uncertain ocean environment

    Publication Year: 1999, Page(s):2917 - 2927
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    Ambiguity surfaces for underwater acoustic matched-field processing are prone to having high secondary peaks. This leads to anomalous source localization estimates below a threshold signal-to-noise ratio (SNR) at which the performance rapidly departs from that predicted by the Cramer-Rao lower bound (CRLB). In this paper, Barankin bounds are used to predict the threshold SNR under two different mo... View full abstract»

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  • Efficient algorithms for Volterra system identification

    Publication Year: 1999, Page(s):3042 - 3057
    Cited by:  Papers (54)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    In this paper, nonlinear filtering and identification based on finite-support Volterra models are considered. The Volterra kernels are estimated via input-output statistics or directly in terms of input-output data. It is shown that the normal equations for a finite-support Volterra system excited by zero mean Gaussian input have a unique solution if, and only if, the power spectral process of the... View full abstract»

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  • Rank reduction and James-Stein estimation

    Publication Year: 1999, Page(s):3121 - 3125
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    This correspondence addresses the problem of estimating the signal in a signal-plus-Gaussian-noise model when it is known that the signal lies in a given subspace. An alternative to rank reduction is presented. The new estimator has the remarkable property of having a smaller mean-square error than that of the maximum-likelihood (also least-squares) estimator for all parameter values View full abstract»

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  • A new method for fractional Brownian motion interpolation

    Publication Year: 1999, Page(s):3159 - 3164
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (172 KB)

    This article presents a new method for interpolating long fractional Brownian motion (fBm) sequences called incremental Fourier interpolation (IFI). Instead of computing the interpolated samples directly, as is the case with existing algorithms, IFI computes the first-order increments between the original and interpolated samples. For long sequences, these increments can be computed using the comp... 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

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Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens