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IEEE Transactions on Signal Processing

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Publication Year: 2012, Page(s):C1 - C4
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• IEEE Transactions on Signal Processing publication information

Publication Year: 2012, Page(s): C2
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• Some Relations Between Extended and Unscented Kalman Filters

Publication Year: 2012, Page(s):545 - 555
Cited by:  Papers (92)
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The unscented Kalman filter (UKF) has become a popular alternative to the extended Kalman filter (EKF) during the last decade. UKF propagates the so called sigma points by function evaluations using the unscented transformation (UT), and this is at first glance very different from the standard EKF algorithm which is based on a linearized model. The claimed advantages with UKF are that it propagate... View full abstract»

• Adaptive Steganalysis of Least Significant Bit Replacement in Grayscale Natural Images

Publication Year: 2012, Page(s):556 - 569
Cited by:  Papers (21)
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This paper deals with the detection of hidden bits in the Least Significant Bit (LSB) plane of a natural image. The mean level and the covariance matrix of the image, considered as a quantized Gaussian random matrix, are unknown. An adaptive statistical test is designed such that its probability distribution is always independent of the unknown image parameters, while ensuring a high probability o... View full abstract»

• Power Constrained Linear Estimation in Wireless Sensor Networks With Correlated Data and Digital Modulation

Publication Year: 2012, Page(s):570 - 584
Cited by:  Papers (22)
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We study the problem of joint quantization and power allocation in wireless sensor networks where spatially distributed sensors observe a Gaussian random source, quantize the resulting noisy observations, and transmit over orthogonal fading channels to a remote fusion center (FC). The role of the FC is to reconstruct the source with minimal distortion using linear minimum mean square error estimat... View full abstract»

• A Novel Hierarchical Bayesian Approach for Sparse Semisupervised Hyperspectral Unmixing

Publication Year: 2012, Page(s):585 - 599
Cited by:  Papers (41)
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In this paper the problem of semisupervised hyper spectral unmixing is considered. More specifically, the unmixing process is formulated as a linear regression problem, where the abundance's physical constraints are taken into account. Based on this formulation, a novel hierarchical Bayesian model is proposed and suitable priors are selected for the model parameters such that, on the one hand, the... View full abstract»

• Analysis of Modulated Multivariate Oscillations

Publication Year: 2012, Page(s):600 - 612
Cited by:  Papers (11)
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The concept of a common modulated oscillation spanning multiple time series is formalized, a method for the recovery of such a signal from potentially noisy observations is proposed, and the time-varying bias properties of the recovery method are derived. The method, an extension of wavelet ridge analysis to the multivariate case, identifies the common oscillation by seeking, at each point in time... View full abstract»

• Signal Reconstruction via $H^{infty}$ Sampled-Data Control Theory—Beyond the Shannon Paradigm

Publication Year: 2012, Page(s):613 - 625
Cited by:  Papers (14)
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This paper presents a new method for signal reconstruction by leveraging sampled-data control theory. We formulate the signal reconstruction problem in terms of an analog performance optimization problem using a stable discrete-time filter. The proposed H∞ performance criterion naturally takes inter-sample behavior into account, reflecting the energy distributions of the signal. ... View full abstract»

• Optimized Compact-Support Interpolation Kernels

Publication Year: 2012, Page(s):626 - 633
Cited by:  Papers (5)
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In this paper, we investigate the problem of designing compact-support interpolation kernels for a given class of signals. By using calculus of variations, we simplify the optimization problem from an nonlinear infinite dimensional problem to a linear finite dimensional case, and then find the optimum compact-support function that best approximates a given filter in the least square sense (ℓ... View full abstract»

• Projection-Based and Look-Ahead Strategies for Atom Selection

Publication Year: 2012, Page(s):634 - 647
Cited by:  Papers (27)
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In this paper, we improve iterative greedy search algorithms in which atoms are selected serially over iterations, i.e., one-by-one over iterations. For serial atom selection, we devise two new schemes to select an atom from a set of potential atoms in each iteration. The two new schemes lead to two new algorithms. For both the algorithms, in each iteration, the set of potential atoms is found usi... View full abstract»

• Large Margin Filtering

Publication Year: 2012, Page(s):648 - 659
Cited by:  Papers (8)
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Many signal processing problems are tackled by filtering the signal for subsequent feature classification or regression. Both steps are critical and need to be designed carefully to deal with the particular statistical characteristics of both signal and noise. Optimal design of the filter and the classifier are typically aborded in a separated way, thus leading to suboptimal classification schemes... View full abstract»

• A Bilinear Approach to the Position Self-Calibration of Multiple Sensors

Publication Year: 2012, Page(s):660 - 673
Cited by:  Papers (41)  |  Patents (2)
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This paper presents a novel algorithm for the automatic 3D localization of a set of sensors in an unknown environment. Given the measures of a set of time of arrival delays at each sensor, the approach simultaneously estimates the 3D position of the sensors and the sources that have generated the event. Such inference is obtained with no assumption about the sensor localization; the only assumptio... View full abstract»

• $L_1$ -Regularized STAP Algorithms With a Generalized Sidelobe Canceler Architecture for Airborne Radar

Publication Year: 2012, Page(s):674 - 686
Cited by:  Papers (29)
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In this paper, we propose novel l1-regularized space-time adaptive processing (STAP) algorithms with a generalized sidelobe canceler architecture for airborne radar applications. The proposed methods suppose that a number of samples at the output of the blocking process are not needed for sidelobe canceling, which leads to the sparsity of the STAP filter weight vector. The core idea is ... View full abstract»

• The MIMO Radar and Jammer Games

Publication Year: 2012, Page(s):687 - 699
Cited by:  Papers (49)
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The interaction between a smart target and a smart MIMO radar is investigated from a game theory perspective. Since the target and the radar form an adversarial system, their interaction is modeled as a two-person zero-sum game. The mutual information criterion is used in formulating the utility functions. The unilateral, hierarchical, and symmetric games are studied, and the equilibria solutions ... View full abstract»

• Sequential Detection With Mutual Information Stopping Cost

Publication Year: 2012, Page(s):700 - 714
Cited by:  Papers (6)
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This paper formulates and solves a sequential detection problem that involves the mutual information (stochastic observability) of a Gaussian process observed in noise with missing measurements. The main result is that the optimal decision is characterized by a monotone policy on the partially ordered set of positive definite covariance matrices. This monotone structure implies that numerically ef... View full abstract»

• Scheduling and Power Allocation in a Cognitive Radar Network for Multiple-Target Tracking

Publication Year: 2012, Page(s):715 - 729
Cited by:  Papers (42)  |  Patents (1)
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We propose a cognitive radar network (CRN) system for the joint estimation of the target state comprising the positions and velocities of multiple targets, and the channel state comprising the propagation conditions of an urban transmission channel. We develop a measurement model for the received signal by considering a finite-dimensional representation of the time-varying system function which ch... View full abstract»

Publication Year: 2012, Page(s):730 - 739
Cited by:  Papers (14)
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Compressive sensing and processing handles high-resolution delay-Doppler radar measurements using a low sampling rate, simple receiver design, and inexpensive processing when Nyquist rate sensing and processing becomes impractical. The benefits of compressive sensing and processing are, however, offset by an increase in estimation error that is introduced when processing compressed measurements ve... View full abstract»

• Robust Adaptive Beamforming Using Multidimensional Covariance Fitting

Publication Year: 2012, Page(s):740 - 753
Cited by:  Papers (22)
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Over the last decade, several set-based worst-case beamformers have been proposed. It has been shown that some of these beamformers can be formulated equivalently as one-dimensional (ID) covariance fitting problems. Based on this formulation, we show that these beamformers lead to inherently nonoptimum results in the presence of interferers. To mitigate the detrimental effect of interferers, we ex... View full abstract»

• Joint Carrier Frequency Offset and Channel Estimation for OFDM Systems via the EM Algorithm in the Presence of Very High Mobility

Publication Year: 2012, Page(s):754 - 765
Cited by:  Papers (44)
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In this paper, the problem of joint carrier frequency offset (CFO) and channel estimation for OFDM systems over the fast time-varying frequency-selective channel is explored within the framework of the expectation-maximization (EM) algorithm and parametric channel model. Assuming that the path delays are known, a novel iterative pilot-aided algorithm for joint estimation of the multipath Rayleigh ... View full abstract»

• LTI Transceivers With Reduced Redundancy

Publication Year: 2012, Page(s):766 - 780
Cited by:  Papers (4)
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This paper presents new linear time-invariant (LTI) block-based transceivers which employ a reduced amount of redundancy to eliminate the interblock interference. The proposals encompass both multicarrier and single-carrier systems with either zero-forcing or minimum mean-square error (MSE) equalizers. The amount of redundancy ranges from the minimum, [L/2], to the most commonly used value, L, ass... View full abstract»

• Joint Transceiver Beamforming in MIMO Cognitive Radio Network Via Second-Order Cone Programming

Publication Year: 2012, Page(s):781 - 792
Cited by:  Papers (35)
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This paper considers the spectrum sharing multiple- input-multiple-output (MIMO) cognitive radio network, in which multiple primary users (PUs) coexist with multiple secondary users (SUs). Joint transceiver cognitive beam former design is introduced to minimize the transmit power of the SU base station (SBS) while simultaneously targeting lower bounds on the received signal-to-interference-plus-no... View full abstract»

• Timing and Carrier Synchronization With Channel Estimation in Multi-Relay Cooperative Networks

Publication Year: 2012, Page(s):793 - 811
Cited by:  Papers (32)
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Multiple distributed nodes in cooperative networks generally are subject to multiple carrier frequency offsets (MCFOs) and multiple timing offsets (MTOs), which result in time varying channels and erroneous decoding. This paper seeks to develop estimation and detection algorithms that enable cooperative communications for both decode-and-forward (DF) and amplify-and-forward (AF) relaying networks ... View full abstract»

• On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel

Publication Year: 2012, Page(s):812 - 821
Cited by:  Papers (146)
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Consider a K-user flat fading MIMO interference channel where the kth transmitter (or receiver) is equipped with Mk (respectively Nk) antennas. If an exponential (in K) number of generic channel extensions are used either across time or frequency, Cadambe and Jafar [1] showed that the total achievable degrees of freedom (DoF) can be maximized via interference alignment, resul... View full abstract»

• Lattice Quantization of Phases for Equal Gain Transmission

Publication Year: 2012, Page(s):822 - 833
Cited by:  Papers (1)
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Equal gain transmission (EGT) requires only the feedback of phase information and is known to enjoy several implementational advantages compared to maximum ratio transmission (MRT). This paper investigates the use of lattice quantization for quantizing phases in EGT systems. In practice, the feedback rate is finite and the lattices need to be truncated to have finite code rate. The truncation of l... View full abstract»

• Polite Water-Filling for Weighted Sum-Rate Maximization in MIMO B-MAC Networks Under Multiple Linear Constraints

Publication Year: 2012, Page(s):834 - 847
Cited by:  Papers (10)
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Optimization under multiple linear constraints is important for practical systems with individual power constraints, per-antenna power constraints, and/or interference constraints as in cognitive radios. While for single-user multiple-input multiple-output (MIMO) channel transmitter optimization, no one uses general purpose convex programming because water-filling is optimal and much simpler, it i... 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
Sergios Theodoridis
University of Athens