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IEEE Transactions on Signal Processing

Issue 13 • Date July1, 2014

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Displaying Results 1 - 25 of 28
  • [Front cover]

    Publication Year: 2014, Page(s): C1
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  • IEEE Transactions on Signal Processing publication information

    Publication Year: 2014, Page(s): C2
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  • Table of Contents

    Publication Year: 2014, Page(s):3289 - 3290
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  • Table of Contents

    Publication Year: 2014, Page(s):3291 - 3292
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  • Constrained 3D Rotation Smoothing via Global Manifold Regression for Video Stabilization

    Publication Year: 2014, Page(s):3293 - 3304
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2487 KB) | HTML iconHTML

    We present a novel motion smoothing algorithm for hand-held cameras with application to video stabilization. Video stabilization seeks to remove unwanted frame-to-frame jitter due to camera shake. For video stabilization, we use a pure 3D rotation motion model with known camera projection parameters. The 3D camera rotation can be reliably tracked by a gyroscope as commonly found on a smart phone o... View full abstract»

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  • Prediction of Partially Observed Dynamical Processes Over Networks via Dictionary Learning

    Publication Year: 2014, Page(s):3305 - 3320
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4038 KB) | HTML iconHTML

    Prediction of dynamical processes evolving over network graphs is a basic task encountered in various areas of science and engineering. The prediction challenge is exacerbated when only partial network observations are available, that is when only measurements from a subset of nodes are available. To tackle this challenge, the present work introduces a joint topology- and data-driven approach for ... View full abstract»

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  • Cyclic Barankin-Type Bounds for Non-Bayesian Periodic Parameter Estimation

    Publication Year: 2014, Page(s):3321 - 3336
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4941 KB) | HTML iconHTML

    In many practical periodic parameter estimation problems, the appropriate performance criteria are periodic in the parameter space. The existing mean-square-error (MSE) lower bounds, such as Cramér-Rao bound (CRB) and Barankin-type bounds do not provide valid lower bounds in such problems. In this paper, cyclic versions of the CRB and the Barankin-type bounds, Hammersley-Chapman-Robbins an... View full abstract»

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  • On-Demand Asynchronous Localization for Underwater Sensor Networks

    Publication Year: 2014, Page(s):3337 - 3348
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2539 KB) | HTML iconHTML

    In this paper we consider the issue of localization in the context of underwater sensor networks which contain anchor nodes with perfect knowledge of their position, but asynchronous clocks. By taking advantage of a sequential transmission protocol and the broadcasting nature of the acoustic underwater medium, the entire network can be localized simultaneously with small overhead. Additionally, it... View full abstract»

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  • Robust Shrinkage Affine-Projection Sign Adaptive-Filtering Algorithms for Impulsive Noise Environments

    Publication Year: 2014, Page(s):3349 - 3359
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2595 KB) | HTML iconHTML

    Two robust affine projection sign (RAPS) algorithms, both of which minimize the mixed norm of l1 and l2 of the error signal, are proposed. The direction vector of the RAPS algorithms is obtained from the gradient of an l1 norm-based objective function, while two related l2 norm-based minimization problems are solved to obtain the line search of the two RAPS algorithms. The l1 norm-based direction ... View full abstract»

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  • Bandwidth Efficient Variable Rate HARQ Under Orthogonal Space-Time Block Codes

    Publication Year: 2014, Page(s):3360 - 3370
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2929 KB) | HTML iconHTML

    We propose a bandwidth and power efficient hybrid Automatic Repeat reQuest (HARQ) transceiver system that preserves full retransmission diversity under orthogonal space-time block codes (OSTBC) with low decoding complexity. This new HARQ scheme is built upon traditional OSTBC transmission to achieve full space-time diversity. During retransmissions upon packet losses, space-time encoding can be co... View full abstract»

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  • Superoscillations of Prescribed Amplitude and Derivative

    Publication Year: 2014, Page(s):3371 - 3378
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1911 KB) | HTML iconHTML

    Superoscillations occur when a bandlimited signal oscillates at a rate higher than its maximum frequency. We show that it is possible to construct superoscillations by constraining not only the value of the signal but also that of its derivative. This allows a better control of the shape of the superoscillations. We find that for any given bandwidth, no matter how small, there exists a unique sign... View full abstract»

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  • General Factorization of Conjugate-Symmetric Hadamard Transforms

    Publication Year: 2014, Page(s):3379 - 3392
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4397 KB) | HTML iconHTML

    Complex-valued conjugate-symmetric Hadamard transforms (C-CSHT) are variants of complex Hadamard transforms and found applications in signal processing. In addition, their real-valued transform counterparts (R-CSHTs) perform comparably with Hadamard transforms (HTs) despite their lower computational complexity. Closed-form factorizations of C-CSHTs and R-CSHTs have recently been proposed to make c... View full abstract»

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  • Reduced-Order Generalized H_{\infty } Filtering for Linear Discrete-Time Systems With Application to Channel Equalization

    Publication Year: 2014, Page(s):3393 - 3402
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3040 KB) | HTML iconHTML

    This paper investigates the problem of reduced-order generalized H filtering for linear discrete-time systems. Generalized H filtering covers standard H filtering as a special case and can make use of the frequency-domain characteristics of practical signals. Moreover, reduced-order filters are more attractive than full-order ones regarding ... View full abstract»

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  • Relations Between Zero-IF Receiver I/Q and TI-ADC Channel Mismatches

    Publication Year: 2014, Page(s):3403 - 3414
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2383 KB) | HTML iconHTML

    This paper shows that the in-phase and quadrature (I/Q) channel mismatch problem for complex signals in zero-IF receivers (ZIFRs) is related to the real-signal channel-mismatch problem in two-channel time-interleaved analog-to-digital converters (TI-ADCs). The problems are related in that, given one of the problems, it can be converted to the other problem via relatively simple signal processing o... View full abstract»

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  • Regional Variance for Multi-Object Filtering

    Publication Year: 2014, Page(s):3415 - 3428
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4046 KB) | HTML iconHTML

    Recent progress in multi-object filtering has led to algorithms that compute the first-order moment of multi-object distributions based on sensor measurements. The number of targets in arbitrarily selected regions can be estimated using the first-order moment. In this work, we introduce explicit formulae for the computation of the second-order statistic on the target number. The proposed concept o... View full abstract»

    Open Access
  • On the Robust Design of Adaptive Distributed Beamforming for Wireless Sensor/Relay Networks

    Publication Year: 2014, Page(s):3429 - 3441
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2690 KB) | HTML iconHTML

    A considerable volume of research into adaptive schemes for transmit beamforming in distributed networks has emerged in recent years. A noise-free received signal strength (RSS) measurement and a static environment were often considered. However, in practical scenarios, system uncertainties often arise, which may lead to the aforementioned idealistic assumptions failing. In this paper, we focus on... View full abstract»

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  • Distributed Information Theoretic Clustering

    Publication Year: 2014, Page(s):3442 - 3453
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2450 KB) | HTML iconHTML

    Distributed data collection and analysis over networks are ubiquitous, especially over the wireless sensor networks (WSNs). Distributed clustering is one of the most important topics in distributed data analysis. It is desired to explore the hidden structure of the data collected/stored in geographically distributed nodes. In recent years, several distributed data clustering techniques have been d... View full abstract»

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  • Distributed Estimation and Detection With Bounded Transmissions Over Gaussian Multiple Access Channels

    Publication Year: 2014, Page(s):3454 - 3463
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2298 KB) | HTML iconHTML

    A distributed inference scheme which uses bounded transmission functions over a Gaussian multiple access channel is considered. When the sensor measurements are decreasingly reliable as a function of the sensor index, the conditions on the transmission functions under which consistent estimation and reliable detection are possible is characterized. For the distributed estimation problem, an estima... View full abstract»

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  • Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization

    Publication Year: 2014, Page(s):3464 - 3478
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3548 KB) | HTML iconHTML

    Convex optimization with sparsity-promoting convex regularization is a standard approach for estimating sparse signals in noise. In order to promote sparsity more strongly than convex regularization, it is also standard practice to employ non-convex optimization. In this paper, we take a third approach. We utilize a non-convex regularization term chosen such that the total cost function (consistin... View full abstract»

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  • Power Allocation for Artificial-Noise Secure MIMO Precoding Systems

    Publication Year: 2014, Page(s):3479 - 3493
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3581 KB) | HTML iconHTML

    This paper investigates the power allocation problem for artificial noise (AN) secure precoding systems, and proposes closed-form solutions for maximizing the achievable secrecy rate. It is assumed that the transmitter knows the full channel information at the legitimate receiver, and knows only the statistics of the channel information at the eavesdropper. Lower bounds are derived for the secrecy... View full abstract»

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  • [Blank page]

    Publication Year: 2014, Page(s): B3494
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  • IEEE Transactions on Signal Processing EDICS

    Publication Year: 2014, Page(s): 3495
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  • IEEE Transactions on Signal Processing information for authors

    Publication Year: 2014, Page(s):3496 - 3497
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  • Open Access

    Publication Year: 2014, Page(s): 3498
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  • Special issue on Advances in Hyperspectral Data Processing and Analysis

    Publication Year: 2014, Page(s): 3499
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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