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# IEEE Transactions on Signal Processing

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Displaying Results 1 - 25 of 55
• ### Table of Contents

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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• ### Complex Elliptically Symmetric Distributions: Survey, New Results and Applications

Publication Year: 2012, Page(s):5597 - 5625
Cited by:  Papers (105)
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Complex elliptically symmetric (CES) distributions have been widely used in various engineering applications for which non-Gaussian models are needed. In this overview, circular CES distributions are surveyed, some new results are derived and their applications e.g., in radar and array signal processing are discussed and illustrated with theoretical examples, simulations and analysis of real radar... View full abstract»

• ### Separating Function Estimation Tests: A New Perspective on Binary Composite Hypothesis Testing

Publication Year: 2012, Page(s):5626 - 5639
Cited by:  Papers (16)
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In this paper, we study some relationships between the detection and estimation theories for a binary composite hypothesis test H0 against H1 and a related estimation problem. We start with a one-dimensional (1D) space for the unknown parameter space and one-sided hypothesis problems and then extend out results into more general cases. For one-sided tests, we sh... View full abstract»

• ### Shrinkage-to-Tapering Estimation of Large Covariance Matrices

Publication Year: 2012, Page(s):5640 - 5656
Cited by:  Papers (13)
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In this paper, we introduce a shrinkage-to-tapering approach for estimating large covariance matrices when the number of samples is substantially fewer than the number of variables (i.e., n,p→∞ and p/n→∞). The proposed estimator improves upon both shrinkage and tapering estimators by shrinking the sample covariance matrix to its taper... View full abstract»

• ### A phd Filter for Tracking Multiple Extended Targets Using Random Matrices

Publication Year: 2012, Page(s):5657 - 5671
Cited by:  Papers (56)
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This paper presents a random set based approach to tracking of an unknown number of extended targets, in the presence of clutter measurements and missed detections, where the targets' extensions are modeled as random matrices. For this purpose, the random matrix framework developed recently by Koch is adapted into the extended target phd framework, resulting in the Gaussian inverse Wishart phd (gi... View full abstract»

• ### Complex-Valued Linear and Widely Linear Filtering Using MSE and Gaussian Entropy

Publication Year: 2012, Page(s):5672 - 5684
Cited by:  Papers (5)
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In this paper, we study the performance of mean square error (MSE) and Gaussian entropy criteria for linear and widely linear complex filtering. The MSE criterion has been extensively studied, and with a widely linear filter form, it can take into account the full second-order statistics of the input signal. However, it cannot exploit the full second-order statistics of the error, and doubles the ... View full abstract»

• ### On Delay Tomography: Fast Algorithms and Spatially Dependent Models

Publication Year: 2012, Page(s):5685 - 5697
Cited by:  Papers (4)
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As an active branch of network tomography, delay tomography has received considerable attentions in recent years. However, most methods in the literature assume that the delays of different links are independent of each other, and pursuit sub-optimal estimate instead of the maximum likelihood estimate (MLE) due to computational challenges. In this paper, we propose a novel method to implement the ... View full abstract»

• ### CONFAC Decomposition Approach to Blind Identification of Underdetermined Mixtures Based on Generating Function Derivatives

Publication Year: 2012, Page(s):5698 - 5713
Cited by:  Papers (8)
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This work proposes a new tensor-based approach to solve the problem of blind identification of underdetermined mixtures of complex-valued sources exploiting the cumulant generating function (CGF) of the observations. We show that a collection of second-order derivatives of the CGF of the observations can be stored in a third-order tensor following a constrained factor (CONFAC) decomposition with k... View full abstract»

• ### On $l_q$ Optimization and Matrix Completion

Publication Year: 2012, Page(s):5714 - 5724
Cited by:  Papers (40)
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Rank minimization problems, which consist of finding a matrix of minimum rank subject to linear constraints, have been proposed in many areas of engineering and science. A specific problem is the matrix completion problem in which a low rank data matrix can be recovered from incomplete samples of its entries by solving a rank penalized least squares problem. The rank penalty is in fact the l View full abstract»

• ### Reconstruction of Sparse Signals From $ell_1$ Dimensionality-Reduced Cauchy Random Projections

Publication Year: 2012, Page(s):5725 - 5737
Cited by:  Papers (11)
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Dimension reduction methods via linear random projections are used in numerous applications including data mining, information retrieval and compressive sensing (CS). While CS has traditionally relied on normal random projections, corresponding to ℓ2 distance preservation, a large body of work has emerged for applications where ℓ1 approximate distances may be pr... View full abstract»

• ### Clock Jitter Compensation in High-Rate ADC Circuits

Publication Year: 2012, Page(s):5738 - 5753
Cited by:  Papers (4)  |  Patents (2)
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Clock timing jitter refers to random perturbations in the sampling time in analog-to-digital converters (ADCs). The perturbations are caused by circuit imperfections in the sampling clock. This paper analyzes the effect of sampling clock jitter on the acquired samples in the midst of random noise. We propose low-complexity digital signal processing methods for estimating the jitter in real-time fo... View full abstract»

• ### Arbitrary Partial FEXT Cancellation in Adaptive Precoding for Multichannel Downstream VDSL

Publication Year: 2012, Page(s):5754 - 5763
Cited by:  Papers (8)
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In this paper, we present and analyze a simplified, adaptive precoder for arbitrary partial far-end cross talk (FEXT) cancellation in the downstream of multichannel VDSL. The precoder is based on error signal feedback and is computationally efficient. Furthermore, the partial precoding makes it possible to operate the precoder at any desired complexity, and the system's performance increases with ... View full abstract»

• ### IIR-Based ${rm DT}{cal C}{rm WTs}$ With Improved Analyticity and Frequency Selectivity

Publication Year: 2012, Page(s):5764 - 5774
Cited by:  Papers (4)
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In this paper, a new class of DTCWTs with improved analyticity and frequency selectivity is proposed by using general IIR filters with numerator and denominator of different degree. In the common-factor technique proposed by Selesnick, the maximally flat allpass filter was used to satisfy the half-sample delay condition. Thus, to improve the analyticity of complex wavelets, we present a met... View full abstract»

• ### Response of Dynamical Systems to Nonstationary Inputs

Publication Year: 2012, Page(s):5775 - 5786
Cited by:  Papers (2)
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We obtain the time-frequency response of the output of a dynamical system when the input belongs to a class of common nonstationary signals, namely, an impulse, a linear chirp, a causal sinusoid, and a short duration sinusoid. The obtained results clarify how the system processes the time-varying frequencies of the input signal to generate the time-frequency spectrum of the output. All analytic re... View full abstract»

• ### A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising

Publication Year: 2012, Page(s):5787 - 5798
Cited by:  Papers (37)
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In this paper, we address the problem of the retrieval of the components from a multicomponent signal using ideas from the synchrosqueezing framework. The emphasis is on the wavelet choice and we propose a novel algorithm based first on the detection of components followed by their reconstruction. Simulations illustrate how the proposed procedure compares with the empirical mode decomposition and ... View full abstract»

• ### Improving Noise Robustness in Subspace-Based Joint Sparse Recovery

Publication Year: 2012, Page(s):5799 - 5809
Cited by:  Papers (12)
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In a multiple measurement vector problem (MMV), where multiple signals share a common sparse support and are sampled by a common sensing matrix, we can expect joint sparsity to enable a further reduction in the number of required measurements. While a diversity gain from joint sparsity had been demonstrated earlier in the case of a convex relaxation method using an l1/ l View full abstract»

• ### Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition

Publication Year: 2012, Page(s):5810 - 5819
Cited by:  Papers (63)
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We develop new nonconvex approaches for matrix optimization problems involving sparsity. The heart of the methods is a new, nonconvex penalty function that is designed for efficient minimization by means of a generalized shrinkage operation. We apply this approach to the decomposition of video into low rank and sparse components, which is able to separate moving objects from the stationary backgro... View full abstract»

• ### Clustering With Multi-Layer Graphs: A Spectral Perspective

Publication Year: 2012, Page(s):5820 - 5831
Cited by:  Papers (17)
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Observational data usually comes with a multimodal nature, which means that it can be naturally represented by a multi-layer graph whose layers share the same set of vertices (objects) with different edges (pairwise relationships). In this paper, we address the problem of combining different layers of the multi-layer graph for an improved clustering of the vertices compared to using layers indepen... View full abstract»

• ### Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures

Publication Year: 2012, Page(s):5832 - 5844
Cited by:  Papers (5)
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In this paper, we address the problem of blind compensation of nonlinear distortions. Our approach relies on the assumption that the input signal is bandlimited. We then make use of the classical result that the output of a nonlinearity has a wider spectrum than the one of the input signal. However, differently from previous works, our approach does not assume knowledge of the input signal bandwid... View full abstract»

• ### Linearly Constrained Robust Capon Beamforming

Publication Year: 2012, Page(s):5845 - 5856
Cited by:  Papers (9)
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In this paper, a novel linearly constrained robust Capon beamformer (LCRCB) framework is proposed. In the LCRCB, linear constraints can be used, e.g., for beampattern control and ellipsoidal array steering vector sets can be exploited, using robust Capon beamforming techniques, e.g., to allow for arbitrary array steering vector errors, such as those arising from calibration errors. The LCRCB is ap... View full abstract»

• ### Efficient Calculation of Sensor Utility and Sensor Removal in Wireless Sensor Networks for Adaptive Signal Estimation and Beamforming

Publication Year: 2012, Page(s):5857 - 5869
Cited by:  Papers (13)
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Wireless sensor networks are often deployed over a large area of interest and therefore the quality of the sensor signals may vary significantly across the different sensors. In this case, it is useful to have a measure for the importance or the so-called “utility” of each sensor, e.g., for sensor subset selection, resource allocation or topology selection. In this paper, we consider... View full abstract»

• ### Generalized Sampling Expansion for Functions on the Sphere

Publication Year: 2012, Page(s):5870 - 5879
Cited by:  Papers (7)
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Functions on the sphere appear in several applications, including geodesics, imaging and acoustics. Sampling of these functions may result in aliasing if the sampling condition is not met. The generalized sampling expansion introduced by Papoulis enables the reconstruction of a band-limited function sampled at a frequency lower than the Nyquist frequency using the outputs of several linear time-in... View full abstract»

• ### Multiple Description Analog Joint Source-Channel Coding to Exploit the Diversity in Parallel Channels

Publication Year: 2012, Page(s):5880 - 5892
Cited by:  Papers (8)
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The complexity and delay introduced by efficient digital coding strategies may be a barrier in some real-time communications. In this sense, these last years, joint source-channel coding schemes based on analog mappings have gained prominence precisely for their simplicity and their implicit low delay. In this work, analog mappings originally designed for point-to-point communications are adapted ... View full abstract»

• ### Eigenvalue Estimation of Parameterized Covariance Matrices of Large Dimensional Data

Publication Year: 2012, Page(s):5893 - 5905
Cited by:  Papers (5)
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This article deals with the problem of estimating the covariance matrix of a series of independent multivariate observations, in the case where the dimension of each observation is of the same order as the number of observations. Although such a regime is of interest for many current statistical signal processing and wireless communication issues, traditional methods fail to produce consistent est... 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

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens