IEEE Transactions on Signal Processing

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Publication Year: 2010, Page(s):C1 - C4
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• IEEE Transactions on Signal Processing publication information

Publication Year: 2010, Page(s): C2
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• Benefits of Position-Sensitive Detectors for Radioactive Source Detection

Publication Year: 2010, Page(s):4473 - 4483
Cited by:  Papers (8)
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There are many systems for counting photons such as gamma-rays emitted from radioactive sources. Many of these systems are also position-sensitive, which means that the system provides directional information about recorded events. This paper investigates whether or not the additional information provided by position-sensitive capability improves the performance of detecting a point-source in back... View full abstract»

• On Modeling and Pulse Phase Estimation of X-Ray Pulsars

Publication Year: 2010, Page(s):4484 - 4495
Cited by:  Papers (37)
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Mathematical models are developed to characterize the X-ray pulsar signals, and the pulse phase estimation problem is addressed. The Cramér-Rao lower bound for estimation of the pulse phase is presented. Depending on employing the photon counts or direct use of the measured photon time of arrivals, two different estimation strategies are proposed and analyzed. In the first approach, utiliz... View full abstract»

• Target Existence Based Resource Allocation

Publication Year: 2010, Page(s):4496 - 4506
Cited by:  Papers (2)
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Assume an electronically steered antenna (ESA) radar. In between the search mode operations (where the radar completes one scan of the surveillance area), we may optimize performance by judiciously updating individual tracks. The optimization is often translated into the choice of the next track to update. We propose a resource allocation scheme designed to minimize the response time to changing t... View full abstract»

• On the Bayesian Cramér-Rao Bound for Markovian Switching Systems

Publication Year: 2010, Page(s):4507 - 4516
Cited by:  Papers (7)
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We propose a numerical algorithm to evaluate the Bayesian Cramér-Rao bound (BCRB) for multiple model filtering problems. It is assumed that the individual models have additive Gaussian noise and that the measurement model is linear. The algorithm is also given in a recursive form, making it applicable for sequences of arbitrary length. Previous attempts to calculate the BCRB for multiple m... View full abstract»

• Cramér-Rao Lower Bounds for Frequency andPhase NDA Estimation From Arbitrary Square QAM-Modulated Signals

Publication Year: 2010, Page(s):4517 - 4525
Cited by:  Papers (11)
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In this paper, we derive for the first time the analytical expressions of the exact Cramér-Rao lower bounds (CRLBs) of the carrier frequency and the carrier phase from square quadrature amplitude modulated (QAM) signals, assuming the noise power and the signal amplitude to be completely unknown. The signal is assumed to be corrupted by additive white Gaussian noise (AWGN). The main contrib... View full abstract»

• Analysis of a Nonlinear Least Squares Procedure Used in Global Positioning Systems

Publication Year: 2010, Page(s):4526 - 4534
Cited by:  Papers (10)
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Iterated least squares (ILS) is a widely used parameter estimation algorithm for nonlinear least squares problems. The ILS estimation error covariance is usually written (GTR-1G)-1, where G is the Jacobian matrix at the solution and R is the noise covariance. Using a first-order expansion of the “gain matrix” in ILS, we provide a rigorous justifica... View full abstract»

• Frequency Domain Limitations in the Design of Nonnegative Impulse Response Filters

Publication Year: 2010, Page(s):4535 - 4546
Cited by:  Papers (7)
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This paper provides a fundamental characterization of nonnegative impulse response (NNIR) filters. The analysis is performed in terms of both geometrically and equidistantly spaced frequencies. Various inferences on the frequency domain limitations in NNIR filter design are analyzed. It is found that a performance boundary exists for NNIR lowpass filters independent of the system order. A specific... View full abstract»

• Generalized Discrete Fourier Transform With Nonlinear Phase

Publication Year: 2010, Page(s):4547 - 4556
Cited by:  Papers (11)
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Constant modulus transforms like discrete Fourier transform (DFT), Walsh transform, and Gold codes have been successfully used over several decades in several engineering applications, including discrete multi-tone (DMT), orthogonal frequency division multiplexing (OFDM) and code division multiple access (CDMA) communications systems. In this paper, we present a generalized framework for DFT calle... View full abstract»

• Distributional System Representations on Bandlimited Signals

Publication Year: 2010, Page(s):4557 - 4571
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In this paper we analyze the distributional convergence behavior of time-domain convolution type system representations on the Paley-Wiener space PWπ1. Two convolution integrals as well as the discrete counterpart, the convolution sum, are treated. It is shown that there exist stable linear time-invariant (LTI) systems for which the convolution integral represen... View full abstract»

• Voronoi Splines

Publication Year: 2010, Page(s):4572 - 4582
Cited by:  Papers (11)
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We introduce a framework for construction of non-separable multivariate splines that are geometrically tailored for general sampling lattices. Voronoi splines are B-spline-like elements that inherit the geometry of a sampling lattice from its Voronoi cell and generate a lattice-shift-invariant spline space for approximation in Rd. The spline spaces associated with Voronoi splines have g... View full abstract»

• Joint Estimation of Time Delay and Doppler Shift for Band-Limited Signals

Publication Year: 2010, Page(s):4583 - 4594
Cited by:  Papers (9)
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The standard approach for joint estimation of time delay and Doppler shift of a signal is to estimate the point at which the cross ambiguity function of the original and modified signals attains its maximum modulus. Since band-limited signals can be expressed exactly by their Shannon series, we here consider approximated signals gained by truncating their Shannon series to involve only the sampled... View full abstract»

• Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support

Publication Year: 2010, Page(s):4595 - 4607
Cited by:  Papers (202)
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We study the problem of reconstructing a sparse signal from a limited number of its linear projections when a part of its support is known, although the known part may contain some errors. The “known” part of the support, denoted T, may be available from prior knowledge. Alternatively, in a problem of recursively reconstructing time sequences of sparse spatial signals, one may use th... View full abstract»

• Space-Time-Frequency Processing of Acoustic Wave Fields: Theory, Algorithms, and Applications

Publication Year: 2010, Page(s):4608 - 4620
Cited by:  Papers (11)
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Consider a nonparametric representation of acoustic wave fields that consists of observing the sound pressure along a straight line or a smooth contour L defined in space. The observed data contains implicit information of the surrounding acoustic scene, both in terms of spatial arrangement of the sources and their respective temporal evolution. We show that such data can be effectively ana... View full abstract»

• Empirical System Learning for Statistical Pattern Recognition With Non-Uniform Error Criteria

Publication Year: 2010, Page(s):4621 - 4633
Cited by:  Papers (4)
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Most pattern recognition systems attempt to maximize the rate of correct recognition, regardless of the varying and often subjective significance of individual patterns. There are situations in which such uniform treatment of the recognition results may not be appropriate or sufficient, giving rise to the consideration of the non-uniform error cost issue and, in the context of machine learning, th... View full abstract»

• Unified Array Manifold Decomposition Based on Spherical Harmonics and 2-D Fourier Basis

Publication Year: 2010, Page(s):4634 - 4645
Cited by:  Papers (19)
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In this paper, we derive a unified framework for orthonormal decomposition of the array manifold on scalar fields. Such fields are encountered in cases where polarization is not considered, e.g., single polarized radio waves and acoustic pressure. The results generalize and unify different decompositions of the array manifold, found in recent literature, to arrays of arbitrary geometry including c... View full abstract»

• Direction-of-Arrival Estimation Using a Mixed $ell _{2,0}$ Norm Approximation

Publication Year: 2010, Page(s):4646 - 4655
Cited by:  Papers (143)
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A set of vectors is called jointly sparse when its elements share a common sparsity pattern. We demonstrate how the direction-of-arrival (DOA) estimation problem can be cast as the problem of recovering a joint-sparse representation. We consider both narrowband and broadband scenarios. We propose to minimize a mixed ℓ2,0 norm approximation to deal with the joint-sparse rec... View full abstract»

• QML-Based Joint Diagonalization of Positive-Definite Hermitian Matrices

Publication Year: 2010, Page(s):4656 - 4673
Cited by:  Papers (4)
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In this paper, a new algorithm for approximate joint diagonalization (AJD) of positive-definite Hermitian matrices is presented. The AJD matrix, which is assumed to be square non-unitary, is derived via minimization of a quasi-maximum likelihood (QML) objective function. This objective function coincides asymptotically with the maximum likelihood (ML) objective function, hence enabling the propose... View full abstract»

• A Low Complexity Blind Estimator of Narrowband Polynomial Phase Signals

Publication Year: 2010, Page(s):4674 - 4683
Cited by:  Papers (22)  |  Patents (2)
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Consider the problem of estimating the parameters of multiple polynomial phase signals observed by a sensor array. In practice, it is difficult to maintain a precisely calibrated array. The array manifold is then assumed to be unknown, and the estimation is referred to as blind estimation. To date, only an approximated maximum likelihood estimator (AMLE) was suggested for blindly estimating the po... View full abstract»

Publication Year: 2010, Page(s):4684 - 4697
Cited by:  Papers (61)
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In this paper, we consider multiple input multiple output (MIMO) radar waveform design in colored noise. Two information theoretic measures are used as criterions for optimal waveform design under transmitted power constraint. The first one is by maximizing the mutual information between target impulse response and target echoes; the second one is by maximizing the relative entropy between two hyp... View full abstract»

• Blind CFO Estimation for Linearly Precoded OFDMA Uplink

Publication Year: 2010, Page(s):4698 - 4710
Cited by:  Papers (14)
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This paper presents a novel method for blind carrier-frequency-offset (CFO) estimation in linearly precoded OFDMA uplink. Our investigation starts from the single-user equivalent (SUE) scenario presented in where active users in the network are categorized into a number of reference (synchronized) users (RUs) and a new (asynchronous) user (NU). The major idea is to take advantage of time correlati... View full abstract»

• IEEE 802.15.4 BPSK Receiver Architecture Based on a New Efficient Detection Scheme

Publication Year: 2010, Page(s):4711 - 4719
Cited by:  Papers (7)  |  Patents (1)
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This paper proposes a new differential-detection scheme for IEEE 802.15.4 BPSK receivers. The proposed detection scheme derives not only the decision variables for data detection but also a timing signal ready for synchronization by a simple technique. A receiver architecture based on the new detection scheme is then proposed. Based on simulation results on the receiver performance, it is shown th... View full abstract»

• Cooperation in the Low Power Regime for the MAC Using Multiplexed Rateless Codes

Publication Year: 2010, Page(s):4720 - 4734
Cited by:  Papers (12)
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In this paper, we consider cooperation in the low power (low SNR) regime for the multiple access channel with the assumption that the transmitters have no channel state information. A relevant performance measure to consider is therefore the outage capacity. We develop cooperation methods based on multiplexed coding in conjunction with rateless codes and find the achievable rates and in particular... View full abstract»

• Generalized Method of Moments Estimation of Location Parameters: Application to Blind Phase Acquisition

Publication Year: 2010, Page(s):4735 - 4749
Cited by:  Papers (16)
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In this paper, we address the problem of location parameter estimation via a Generalized Method of Moments (GMM) approach. The general framework for the GMM estimation requires the minimization of a suitable, generally nonconvex, elliptic norm. Here we show that, if the estimandum is a shift parameter for a suitable statistic of the observations, a fast, DFT-based, computationally efficient proced... View full abstract»

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
Pier Luigi Dragotti
Imperial College London