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IEEE Transactions on Signal Processing

Issue 7 • Date April1, 2013

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Displaying Results 1 - 25 of 36
  • Front Cover

    Publication Year: 2013, Page(s): C1
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  • IEEE Transactions on Signal Processing publication information

    Publication Year: 2013, Page(s): C2
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  • Table of Contents

    Publication Year: 2013, Page(s):1577 - 1578
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  • Table of Contents

    Publication Year: 2013, Page(s):1579 - 1580
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  • Energy-Efficient, Heterogeneous Sensor Selection for Physical Activity Detection in Wireless Body Area Networks

    Publication Year: 2013, Page(s):1581 - 1594
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3175 KB) | HTML iconHTML

    In this paper, the problem of efficient operation of an energy-constrained, heterogeneous Wireless Body Area Network (WBAN) to optimize an activity detection application is addressed. WBANs constitute a new class of wireless sensor networks that enable diverse applications in healthcare, entertainment, sports, military and emergency situations. A typical WBAN consists of a few, heterogeneous senso... View full abstract»

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  • Adaptive Universal Linear Filtering

    Publication Year: 2013, Page(s):1595 - 1604
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2292 KB) | HTML iconHTML

    We consider the problem of online estimation of an arbitrary real-valued signal corrupted by zero-mean noise using linear estimators. The estimator is required to iteratively predict the underlying signal based on the current and several last noisy observations, and its performance is measured by the mean-square-error. We design and analyze an algorithm for this task whose total square-error on an... View full abstract»

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  • Multi-Block Joint Optimization for the Peak-to-Average Power Ratio Reduction of FBMC-OQAM Signals

    Publication Year: 2013, Page(s):1605 - 1613
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2223 KB) | HTML iconHTML

    Recently, the filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) has attracted increasing attention. However, most peak-to-average power ratio (PAPR) reduction schemes developed for orthogonal frequency division multiplexing (OFDM) signals are not effective for FBMC-OQAM signals, due to the overlapping structure of FBMC-OQAM signals. In this paper, we propose an impro... View full abstract»

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  • Non-Parametric High-Resolution SAR Imaging

    Publication Year: 2013, Page(s):1614 - 1624
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2999 KB) | HTML iconHTML

    The development of high-resolution two-dimensional spectral estimation techniques is of notable interest in synthetic aperture radar (SAR) imaging. Typically, data-independent techniques are exploited to form the SAR images, although such approaches will suffer from limited resolution and high sidelobe levels. Recent work on data-adaptive approaches have shown that both the iterative adaptive appr... View full abstract»

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  • How Can Online Schedules Improve Communication and Estimation Tradeoff?

    Publication Year: 2013, Page(s):1625 - 1631
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1781 KB) | HTML iconHTML

    We consider remote state estimation and investigate the tradeoff between the sensor-to-estimator communication rate and the remote estimation quality. It is well known that if the communication rate is one, e.g., the sensor communicates with the remote estimator at each time, then the remote estimation quality is the best. It degrades when the communication rate drops. We present one optimal offli... View full abstract»

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  • Vectorial Phase Retrieval of 1-D Signals

    Publication Year: 2013, Page(s):1632 - 1643
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2910 KB) | HTML iconHTML

    Reconstruction of signals from measurements of their spectral intensities, also known as the phase retrieval problem, is of fundamental importance in many scientific fields. In this paper we present a novel framework, denoted as vectorial phase retrieval, for reconstruction of pairs of signals from spectral intensity measurements of the two signals and of their interference. We show that this new ... View full abstract»

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  • Discrete Signal Processing on Graphs

    Publication Year: 2013, Page(s):1644 - 1656
    Cited by:  Papers (94)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2577 KB) | HTML iconHTML

    In social settings, individuals interact through webs of relationships. Each individual is a node in a complex network (or graph) of interdependencies and generates data, lots of data. We label the data by its source, or formally stated, we index the data by the nodes of the graph. The resulting signals (data indexed by the nodes) are far removed from time or image signals indexed by well ordered ... View full abstract»

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  • Source Transmit Antenna Selection for MIMO Decode-and-Forward Relay Networks

    Publication Year: 2013, Page(s):1657 - 1662
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1457 KB) | HTML iconHTML

    Transmit antenna selection (TAS) is usually applied to multiple-input multiple-output (MIMO) systems because it does not require additional radio frequency (RF) chains which are quite expensive. In MIMO decode-and-forward (DF) relay networks, both source-destination and source-relay-destination paths should be simultaneously considered to find an effective source TAS (STAS). In this paper, a new S... View full abstract»

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  • Particle Smoothing Algorithms for Variable Rate Models

    Publication Year: 2013, Page(s):1663 - 1675
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2825 KB) | HTML iconHTML

    Standard state-space methods assume that the latent state evolves uniformly over time, and can be modeled with a discrete-time process synchronous with the observations. This may be a poor representation of some systems in which the state evolution displays discontinuities in its behavior. For such cases, a variable rate model may be more appropriate; the system dynamics are conditioned on a set o... View full abstract»

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  • Distance Estimation Using Wrapped Phase Measurements in Noise

    Publication Year: 2013, Page(s):1676 - 1688
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2968 KB) | HTML iconHTML

    Measuring a distance using phase measurements is a common practice in many areas of engineering. Almost inevitably these measurements are accompanied by noise, and are always subject to ambiguity resulting from the phase of modulo 2π. In the presence of phase ambiguity, where for instance the unknown distance is far longer than the wavelength of the signal carrying the phase measurement, th... View full abstract»

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  • A Family of Shrinkage Adaptive-Filtering Algorithms

    Publication Year: 2013, Page(s):1689 - 1697
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2265 KB) | HTML iconHTML

    A family of adaptive-filtering algorithms that uses a variable step size is proposed. A variable step size is obtained by minimizing the energy of the noise-free a posteriori error signal which is obtained by using a known L1-L2 minimization formulation. Based on this methodology, a shrinkage affine projection (SHAP) algorithm, a shrinkage least-mean-squares (SH... View full abstract»

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  • Intrinsic Spectral Analysis

    Publication Year: 2013, Page(s):1698 - 1710
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1972 KB) | HTML iconHTML

    It has long been posited that the space of speech sounds is inherently low dimensional, the result of a relatively small number of degrees of freedom involved in the human vocal apparatus. We attempt to formalize this notion by analyzing a simple physical model of the vocal tract and demonstrating that it produces transfer functions whose spectra are restricted to low dimensional manifolds embedde... View full abstract»

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  • Degrees of Freedom for MIMO Two-Way X Relay Channel

    Publication Year: 2013, Page(s):1711 - 1720
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2580 KB) | HTML iconHTML

    We study the degrees of freedom (DOF) of a multiple-input multiple-output (MIMO) two-way X relay channel, where there are two groups of source nodes and one relay node, each equipped with multiple antennas, and each of the two source nodes in one group exchanges independent messages with the two source nodes in the other group via the relay node. It is assumed that every source node is equipped wi... View full abstract»

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  • Attribute Fusion in a Latent Process Model for Time Series of Graphs

    Publication Year: 2013, Page(s):1721 - 1732
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3050 KB) | HTML iconHTML

    Hypothesis testing on time series of attributed graphs has applications in diverse areas, e.g., social network analysis (wherein vertices represent individual actors or organizations), connectome inference (wherein vertices are neurons or brain regions) and text processing (wherein vertices represent authors or documents). We consider the problem of anomaly/change point detection given the latent ... View full abstract»

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  • Optimal Perturbation Control of General Topology Molecular Networks

    Publication Year: 2013, Page(s):1733 - 1742
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2643 KB) | HTML iconHTML

    In this paper, we develop a comprehensive framework for optimal perturbation control of dynamic networks. The aim of the perturbation is to drive the network away from an undesirable steady-state distribution and to force it to converge towards a desired steady-state distribution. The proposed framework does not make any assumptions about the topology of the initial network, and is thus applicable... View full abstract»

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  • On Convergence of Kronecker Graphical Lasso Algorithms

    Publication Year: 2013, Page(s):1743 - 1755
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3716 KB) | HTML iconHTML

    This paper studies iteration convergence of Kronecker graphical lasso (KGLasso) algorithms for estimating the covariance of an i.i.d. Gaussian random sample under a sparse Kronecker-product covariance model and MSE convergence rates. The KGlasso model, originally called the transposable regularized covariance model by Allen [“Transposable regularized covariance models with an application to... View full abstract»

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  • DMT MIMO IC Rate Maximization in DSL With Combined Signal and Spectrum Coordination

    Publication Year: 2013, Page(s):1756 - 1769
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3109 KB) | HTML iconHTML

    Theoretical research has demonstrated that the achievable gains in data rate with dynamic spectrum management, i.e., signal coordination or spectrum coordination, are substantial for digital subscriber line (DSL) networks. Work on these two fronts has progressed steadily and, more often than not, independently. In this paper, we combine the two types of coordination for a mixed DSL scenario, in wh... View full abstract»

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  • MSE-Based Source and Relay Precoder Design for Cognitive Multiuser Multi-Way Relay Systems

    Publication Year: 2013, Page(s):1770 - 1785
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4568 KB) | HTML iconHTML

    We consider joint design of source and relay precoders in a cognitive multiuser multi-way relay system, which supports simultaneous transmission of multiple secondary users concurrently with primary network with the help of a relay station. The design criterion is minimum mean-square error (MMSE) of all secondary users under a transmit power constraint for each transmitting node and a constraint o... View full abstract»

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  • Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization

    Publication Year: 2013, Page(s):1786 - 1796
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2310 KB) | HTML iconHTML

    Matrix Joint Diagonalization (MJD) is a powerful approach for solving the Blind Source Separation (BSS) problem. It relies on the construction of matrices which are diagonalized by the unknown demixing matrix. Their joint diagonalizer serves as a correct estimate of this demixing matrix only if it is uniquely determined. Thus, a critical question is under what conditions is a joint diagonalizer un... View full abstract»

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  • Shrinkage Approach for Spatiotemporal EEG Covariance Matrix Estimation

    Publication Year: 2013, Page(s):1797 - 1808
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2843 KB) | HTML iconHTML

    The characterization of the background activity in electroencephalography (EEG) is of interest in many problems, such as in the study of the brain rhythms and in the solution of the inverse problem for source localization. In most cases the background activity is modeled as a random process, and a basic characterization is done via the second order moments of the process, i.e., the spatiotemporal ... View full abstract»

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  • On Intrinsic Cramér-Rao Bounds for Riemannian Submanifolds and Quotient Manifolds

    Publication Year: 2013, Page(s):1809 - 1821
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3640 KB) | HTML iconHTML

    We study Cramér-Rao bounds (CRB's) for estimation problems on Riemannian manifolds. In [S. T. Smith, “Covariance, Subspace, and Intrinsic Cramér-Rao bounds,” IEEE Trans. Signal Process., vol. 53, no. 5, 1610-1630, 2005], the author gives intrinsic CRB's in the form of matrix inequalities relating the covariance of estimators and the Fisher information of estimation pr... 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