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IEEE Transactions on Signal Processing

Issue 12 • Dec. 2004

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Displaying Results 1 - 25 of 25
  • Table of contents

    Publication Year: 2004, Page(s):c1 - c4
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  • IEEE Transactions on Signal Processing publication information

    Publication Year: 2004, Page(s): c2
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  • Bayesian bounds for matched-field parameter estimation

    Publication Year: 2004, Page(s):3293 - 3305
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB) | HTML iconHTML

    Matched-field methods concern estimation of source locations and/or ocean environmental parameters by exploiting full wave modeling of acoustic waveguide propagation. Because of the nonlinear parameter-dependence of the signal field, the estimate is subject to ambiguities and the sidelobe contribution often dominates the estimation error below a threshold signal-to-noise ratio (SNR). To study the ... View full abstract»

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  • Minimum variance linear receivers for multiaccess MIMO wireless systems with space-time block coding

    Publication Year: 2004, Page(s):3306 - 3313
    Cited by:  Papers (61)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB) | HTML iconHTML

    We consider the problem of joint space-time decoding and multiaccess interference (MAI) rejection in multiuser multiple-input multiple-output (MIMO) wireless communication systems. We address the case when both the receiver and multiple transmitters are equipped with multiple antennas and when space-time block codes (STBCs) are used to send the data simultaneously from each transmitter to the rece... View full abstract»

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  • A small sample model selection criterion based on Kullback's symmetric divergence

    Publication Year: 2004, Page(s):3314 - 3323
    Cited by:  Papers (65)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB) | HTML iconHTML

    The Kullback information criterion (KIC) is a recently developed tool for statistical model selection. KIC serves as an asymptotically unbiased estimator of a variant (within a constant) of the Kullback symmetric divergence, known also as J-divergence between the generating model and the fitted candidate model. In this paper, a bias correction to KIC is derived for linear regression models. The co... View full abstract»

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  • Spectral analysis of randomly sampled signals: suppression of aliasing and sampler jitter

    Publication Year: 2004, Page(s):3324 - 3334
    Cited by:  Papers (45)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB) | HTML iconHTML

    Nonuniform sampling can facilitate digital alias-free signal processing (DASP), i.e., digital signal processing that is not affected by aliasing. This paper presents two DASP approaches for spectrum estimation of continuous-time signals. The proposed algorithms, named the weighted sample (WS) and weighted probability (WP) density functions, respectively, utilize random sampling to suppress aliasin... View full abstract»

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  • A step-by-step quasi-Newton algorithm in the frequency domain and its application to adaptive channel equalization

    Publication Year: 2004, Page(s):3335 - 3344
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB) | HTML iconHTML

    In this paper, a new efficient adaptive filtering algorithm belonging to the Quasi-Newton (QN) family is proposed. In the new algorithm, the involved inverse Hessian matrix is approximated by a proper expansion, consisting of powers of a Toeplitz matrix. Due to this formulation, the algorithm can be implemented in the frequency domain (FD) using the fast Fourier transform (FFT). Efficient recursiv... View full abstract»

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  • Analysis of gradient algorithms for TLS-based adaptive IIR filters

    Publication Year: 2004, Page(s):3345 - 3356
    Cited by:  Papers (8)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB) | HTML iconHTML

    Steepest descent gradient algorithms for unbiased equation error adaptive infinite impulse response (IIR) filtering are analyzed collectively for both the total least squares and mixed least squares-total least squares framework. These algorithms have a monic normalization that allows for a direct filtering implementation. We show that the algorithms converge to the desired filter coefficient vect... View full abstract»

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  • Blind input, initial state, and system identification of SIMO Laguerre systems

    Publication Year: 2004, Page(s):3357 - 3369
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB) | HTML iconHTML

    Laguerre filters have infinite impulse responses (IIRs) but with finite tapped delay-line parameterizations. This paper investigates subspace-based blind identification of Laguerre filter tap coefficients, the internal filter state, and the input, given only noisy observations of the output. This paper deals only with single-input, multiple-output (SIMO) Laguerre models. A state space model for th... View full abstract»

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  • Covariance calculation for floating-point state-space realizations

    Publication Year: 2004, Page(s):3370 - 3377
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    This paper provides a new method for analyzing floating-point roundoff error for digital filters by using "finite signal-to-noise" models whose noise sources have variances proportional to the variance or power of the corrupted signals. With this model, a new expression for output error covariance of floating-point arithmetic is derived the in case of double or extended precision accumulation. The... View full abstract»

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  • Breaking the feedback loop of a class of ΣΔ A/D converters

    Publication Year: 2004, Page(s):3378 - 3393
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1688 KB) | HTML iconHTML

    ΣΔ modulation is the currently successful technique used to perform high resolution analog-to-digital conversion. In spite of its practical success, its theoretical signal analysis has remained limited because a ΣΔ modulator contains of a feedback loop that includes a nonlinear operation, i.e., the amplitude discretization or quantization. The feedback allows us to use over... View full abstract»

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  • QR factoring to compute the GCD of univariate approximate polynomials

    Publication Year: 2004, Page(s):3394 - 3402
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB) | HTML iconHTML

    We present a stable and practical algorithm that uses QR factors of the Sylvester matrix to compute the greatest common divisor (GCD) of univariate approximate polynomials over R[x] or C[x]. An approximate polynomial is a polynomial with coefficients that are not known with certainty. The algorithm of this paper improves over previously published algorithms by handling the case when common roots a... View full abstract»

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  • Size of the dictionary in matching pursuit algorithm

    Publication Year: 2004, Page(s):3403 - 3408
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB) | HTML iconHTML

    The matching pursuit algorithm has been successfully applied in many areas such as data compression and pattern recognition. The performance of matching pursuit is closely related to the selection of the dictionary. In this paper, we propose an algorithm to estimate the optimal dictionary distribution ratio and discuss the decay of the norm of residual signal in matching pursuit when the coefficie... View full abstract»

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  • Prediction of chaotic time series based on the recurrent predictor neural network

    Publication Year: 2004, Page(s):3409 - 3416
    Cited by:  Papers (91)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB) | HTML iconHTML

    Chaos limits predictability so that the long-term prediction of chaotic time series is very difficult. The main purpose of this paper is to study a new methodology to model and predict chaotic time series based on a new recurrent predictor neural network (RPNN). This method realizes long-term prediction by making accurate multistep predictions. This RPNN consists of nonlinearly operated nodes whos... View full abstract»

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  • Analysis of the linear SIC for DS/CDMA signals with random spreading

    Publication Year: 2004, Page(s):3417 - 3428
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (640 KB) | HTML iconHTML

    The linear successive interference canceler (LSIC) is a multiuser detector that employs the magnitude of the matched filter (MF) output as the received amplitude estimate of the detected user for use in signal reconstruction. This paper investigates the performance of the LSIC when random spreading sequences are employed. Specifically, the conditional mean and the signal-to-interference-plus-noise... View full abstract»

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  • OFDM channel estimation in the presence of interference

    Publication Year: 2004, Page(s):3429 - 3439
    Cited by:  Papers (38)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB) | HTML iconHTML

    We develop a frequency-domain channel estimation algorithm for single-user multiantenna orthogonal frequency division multiplexing (OFDM) wireless systems in the presence of synchronous interference. In this case, the synchronous interferer's signal on each OFDM subcarrier is correlated in space with a rank one spatial covariance matrix. In addition, the interferer's spatial covariance matrix is c... View full abstract»

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  • Optimal transmission strategies and impact of correlation in multiantenna systems with different types of channel state information

    Publication Year: 2004, Page(s):3440 - 3453
    Cited by:  Papers (84)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (528 KB) | HTML iconHTML

    We study the optimal transmission strategy of a multiple-input single-output (MISO) wireless communication link. The receiver has perfect channel state information (CSI), while the transmitter has different types of CSI, i.e., either perfect CSI, or no CSI, or long-term knowledge of the channel covariance matrix. For the case in which the transmitter knows the channel covariance matrix, it was rec... View full abstract»

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  • Channel aware decision fusion in wireless sensor networks

    Publication Year: 2004, Page(s):3454 - 3458
    Cited by:  Papers (248)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    Information fusion by utilizing multiple distributed sensors is studied in this work. Extending the classical parallel fusion structure by incorporating the fading channel layer that is omnipresent in wireless sensor networks, we derive the likelihood ratio based fusion rule given fixed local decision devices. This optimum fusion rule, however, requires perfect knowledge of the local decision perf... View full abstract»

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  • A sinusoidal contrast function for the blind separation of statistically independent sources

    Publication Year: 2004, Page(s):3459 - 3463
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    The authors propose a new solution to the blind separation of sources (BSS) based on statistical independence. In the two-dimensional (2-D) case, we prove that, under the whiteness constraint, the fourth-order moment-based approximation of the marginal entropy (ME) cost function yields a sinusoidal objective function. Therefore, we can minimize it by simply estimating its phase. We prove that this... View full abstract»

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  • Improved adaptive ing of coherent interference without spatial smoothing

    Publication Year: 2004, Page(s):3464 - 3469
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    A new scheme for adaptive ing in the presence of coherent interference is proposed that finds the weight vector using a nonsquare correlation matrix without spatial smoothing. Conventional schemes, which use square matrices, correspond to specific cases of the new method. It allows us to increase the dimension of the weight vector such that the ing capability is enhanced. Theoretic performance ana... View full abstract»

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  • List of Reviewers

    Publication Year: 2004, Page(s):3470 - 1
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  • IEEE Transactions on Signal Processing Information for authors

    Publication Year: 2004, Page(s):3477 - 3478
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  • 2004 Index

    Publication Year: 2004, Page(s):3479 - 3515
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  • 2005 IEEE Signal Processing Society membership application

    Publication Year: 2004, Page(s): 3516
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  • IEEE Signal Processing Society Information

    Publication Year: 2004, Page(s): c3
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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