# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 60

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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• ### Announcing a New Peer Review Model for the IEEE Transactions on Signal Processing

Publication Year: 2010, Page(s): 3425
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• ### A Repeated Significance Test With Applications To Sequential Detection In Sensor Networks

Publication Year: 2010, Page(s):3426 - 3435
Cited by:  Papers (7)
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In this paper we introduce a randomly truncated sequential hypothesis test. Using the framework of a repeated significance test (RST), we study a sequential test with truncation time based on a random stopping time. Using the functional central limit theorem (FCLT) for a sequence of statistics, we derive a general result that can be employed in developing a repeated significance test with r... View full abstract»

• ### Online Adaptive Estimation of Sparse Signals: Where RLS Meets the $ell_1$ -Norm

Publication Year: 2010, Page(s):3436 - 3447
Cited by:  Papers (133)  |  Patents (1)
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Using the ℓ1-norm to regularize the least-squares criterion, the batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications where observations adhere to parsimonious linear regression models. To cope with high complexity, increasing memory requirements, and lack of trac... View full abstract»

• ### Representation and Generation of Non-Gaussian Wide-Sense Stationary Random Processes With Arbitrary PSDs and a Class of PDFs

Publication Year: 2010, Page(s):3448 - 3458
Cited by:  Papers (11)
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A new method for representing and generating realizations of a wide-sense stationary non-Gaussian random process is described. The representation allows one to independently specify the power spectral density and the first-order probability density function of the random process. The only proviso is that the probability density function must be symmetric and infinitely divisible. The method propos... View full abstract»

• ### Testing Stationarity With Surrogates: A Time-Frequency Approach

Publication Year: 2010, Page(s):3459 - 3470
Cited by:  Papers (40)
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An operational framework is developed for testing stationarity relatively to an observation scale, in both stochastic and deterministic contexts. The proposed method is based on a comparison between global and local time-frequency features. The originality is to make use of a family of stationary surrogates for defining the null hypothesis of stationarity and to base on them two different statisti... View full abstract»

• ### Closed-Form MMSE Estimation for Signal Denoising Under Sparse Representation Modeling Over a Unitary Dictionary

Publication Year: 2010, Page(s):3471 - 3484
Cited by:  Papers (31)
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This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum a posteriori probability (MAP) estimator in such a case has a closed-form solution based on a simple shrinkage. The focus in this paper is on the better performing and less familiar minimum-mean-squared-error (MMSE) est... View full abstract»

• ### Minimizing Nonconvex Functions for Sparse Vector Reconstruction

Publication Year: 2010, Page(s):3485 - 3496
Cited by:  Papers (19)
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In this paper, we develop a novel methodology for minimizing a class of nonconvex (concave on the non-negative orthant) functions for solving an underdetermined linear system of equations As = x when the solution vector s is known a priori to be sparse. The proposed technique is based on locally replacing the original objective function by a quadratic convex function which is ... View full abstract»

• ### Nonproduct Data-Dependent Partitions for Mutual Information Estimation: Strong Consistency and Applications

Publication Year: 2010, Page(s):3497 - 3511
Cited by:  Papers (9)
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A new framework for histogram-based mutual information estimation of probability distributions equipped with density functions in (Rd,B(Rd)) is presented in this work. A general histogram-based estimate is proposed, considering nonproduct data-dependent partitions, and sufficient conditions are stipulated to guarantee a strongly consistent estimate for mutual information. Two... View full abstract»

• ### A New Robust Estimation Method for ARMA Models

Publication Year: 2010, Page(s):3512 - 3522
Cited by:  Papers (19)
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The autoregressive moving-average (ARMA) modeling of time series is popular and used in many applications. In this paper, we introduce a new robust method to estimate the parameters of a Gaussian ARMA model contaminated by outliers. This method makes use of the median and is termed ratio-of-medians estimator (RME). The ratios of medians are used to estimate robustly the autocorrelation function an... View full abstract»

• ### A Direct Approach for the Frequency-Adaptive Feedforward Cancellation of Harmonic Disturbances

Publication Year: 2010, Page(s):3523 - 3530
Cited by:  Papers (17)
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This paper is concerned with the robust rejection of harmonic disturbances with unknown frequency and amplitude affecting uncertain linear system. The developed control scheme combines the properties of adaptive feedforward cancellation (AFC) techniques with the phase and frequency detection capabilities provided by a nonlinear frequency estimation algorithm. Under mild assumptions on the nominal ... View full abstract»

• ### Frame-Theoretic Analysis of Robust Filter Bank Frames to Quantization and Erasures

Publication Year: 2010, Page(s):3531 - 3544
Cited by:  Papers (4)
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This paper presents the theoretic analysis for the robustness of filter bank (FB) frames in infinite dimensional Hilbert space l2(BBZ) to quantization and erasures as well as studies the design of such robust frames, from the perspective of both frame and FB theory. First, a characterization of the eigenstructure for the frame operator and the induced Gram matrix of general FB fr... View full abstract»

• ### Complex Gaussian Scale Mixtures of Complex Wavelet Coefficients

Publication Year: 2010, Page(s):3545 - 3556
Cited by:  Papers (16)
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In this paper, we propose the complex Gaussian scale mixture (CGSM) to model the complex wavelet coefficients as an extension of the Gaussian scale mixture (GSM), which is for real-valued random variables to the complex case. Along with some related propositions and miscellaneous results, we present the probability density functions of the magnitude and phase of the complex random variable. Specif... View full abstract»

• ### Discrete Inverse $S$ Transform With Least Square Error in Time-Frequency Filters

Publication Year: 2010, Page(s):3557 - 3568
Cited by:  Papers (4)
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The S transform is useful in time-frequency analysis. Many inverse S transform algorithms have been proposed with different filtering properties in the time-frequency spectrum. In this paper, the transformation matrices of the S transform and two novel least square inverse algorithms are proposed. The first one minimizes the global mean square error of the entire time-frequenc... View full abstract»

• ### Kernel-Induced Sampling Theorem

Publication Year: 2010, Page(s):3569 - 3577
Cited by:  Papers (7)
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A perfect reconstruction of functions in a reproducing kernel Hilbert space from a given set of sampling points is discussed. A necessary and sufficient condition for the corresponding reproducing kernel and the given set of sampling points to perfectly recover the functions is obtained in this paper. The key idea of our work is adopting the reproducing kernel Hilbert space corresponding to the Gr... View full abstract»

• ### Sampling From a System-Theoretic Viewpoint: Part I—Concepts and Tools

Publication Year: 2010, Page(s):3578 - 3590
Cited by:  Papers (10)
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This paper is first in a series of papers studying a system-theoretic approach to the problem of reconstructing an analog signal from its samples. The idea, borrowed from earlier treatments in the control literature, is to address the problem as a hybrid model-matching problem in which performance is measured by system norms. In this paper we present the paradigm and revise underlying technical to... View full abstract»

• ### Sampling From a System-Theoretic Viewpoint: Part II—Noncausal Solutions

Publication Year: 2010, Page(s):3591 - 3606
Cited by:  Papers (3)
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This paper puts to use concepts and tools introduced in Part I to address a wide spectrum of noncausal sampling and reconstruction problems. Particularly, we follow the system-theoretic paradigm by using systems as signal generators to account for available information and system norms (L2 and L∞) as performance measures. The proposed optimization-based approach recove... View full abstract»

• ### Signal Recovery With Cost-Constrained Measurements

Publication Year: 2010, Page(s):3607 - 3617
Cited by:  Papers (15)
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We are concerned with the problem of optimally measuring an accessible signal under a total cost constraint, in order to estimate a signal which is not directly accessible. An important aspect of our formulation is the inclusion of a measurement device model where each device has a cost depending on the number of amplitude levels that the device can reliably distinguish. We also assume that there ... View full abstract»

• ### Uniform Discrete Curvelet Transform

Publication Year: 2010, Page(s):3618 - 3634
Cited by:  Papers (25)  |  Patents (1)
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An implementation of the discrete curvelet transform is proposed in this work. The transform is based on and has the same order of complexity as the Fast Fourier Transform (FFT). The discrete curvelet functions are defined by a parameterized family of smooth windowed functions that satisfies two conditions: i) 2π periodic; ii) their squares form a partition of unity. The transform is... View full abstract»

• ### A Dynamical Games Approach to Transmission-Rate Adaptation in Multimedia WLAN

Publication Year: 2010, Page(s):3635 - 3646
Cited by:  Papers (10)
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This paper considers the scheduling, rate adaptation, and buffer management in a multiuser wireless local-area network (WLAN) where each user transmits scalable video payload. Based on opportunistic scheduling, users access the available medium (channel) in a decentralized manner. The rate adaptation problem of the WLAN multimedia networks is then formulated as a general-sum switching control dyna... View full abstract»

• ### Detection–Estimation of Very Close Emitters: Performance Breakdown, Ambiguity, and General Statistical Analysis of Maximum-Likelihood Estimation

Publication Year: 2010, Page(s):3647 - 3660
Cited by:  Papers (7)
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We reexamine the well-known problem of “threshold behavior” or “performance breakdown” in the detection-estimation of very closely spaced emitters. In this extreme regime, we analyze the performance for maximum-likelihood estimation (MLE) of directions-of-arrival (DOA) for two close Gaussian sources over the range of sample volumes and signal-to-noise ratios (SNRs) wher... View full abstract»

• ### Noncoherent MIMO Radar for Location and Velocity Estimation: More Antennas Means Better Performance

Publication Year: 2010, Page(s):3661 - 3680
Cited by:  Papers (70)
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This paper presents an analysis of the joint estimation of target location and velocity using a multiple-input multiple-output (MIMO) radar employing noncoherent processing for a complex Gaussian extended target. A MIMO radar with M transmit and N receive antennas is considered. To provide insight, we focus on a simplified case first, assuming orthogonal waveforms, temporally and spa... View full abstract»

• ### Iterative Adaptive Kronecker MIMO Radar Beamformer: Description and Convergence Analysis

Publication Year: 2010, Page(s):3681 - 3691
Cited by:  Papers (12)
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We introduce an iterative procedure for design of adaptive KL-variate linear beamformers that are structured as the Kronecker product of K-variate (transmit) and L-variate (receive) beamformers. We focus on MIMO radar applications for scenarios where only joint transmit and receive adaptive beamforming can efficiently mitigate multi-mode propagated backscatter interference. Th... View full abstract»

• ### Autoregressive Modeling of Temporal/Spectral Envelopes With Finite-Length Discrete Trigonometric Transforms

Publication Year: 2010, Page(s):3692 - 3705
Cited by:  Papers (4)
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The theory of autoregressive (AR) modeling, also known as linear prediction, has been established by the Fourier analysis of infinite discrete-time sequences or continuous-time signals. Nevertheless, for various finite-length discrete trigonometric transforms (DTTs), including the discrete cosine and sine transforms of different types, the theory is not well established. Several DTTs have been use... 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