# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 55

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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• ### Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations

Publication Year: 2010, Page(s):4977 - 4993
Cited by:  Papers (144)
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In this paper, we extend the cubature Kalman filter (CKF) to deal with nonlinear state-space models of the continuous-discrete kind. To be consistent with the literature, the resulting nonlinear filter is referred to as the continuous-discrete cubature Kalman filter (CD-CKF). We use the Itô-Taylor expansion of order 1.5 to transform the process equation, modeled in the form of stochastic o... View full abstract»

• ### MIMO Radar Detection and Adaptive Design Under a Phase Synchronization Mismatch

Publication Year: 2010, Page(s):4994 - 5005
Cited by:  Papers (29)
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We consider the problem of target detection for multi-input multi-output radar with widely separated antennas in the presence of a phase synchronization mismatch between the transmitter and receiver pairs. Such mismatch often occurs due to imperfect knowledge of the locations and local oscillator characteristics of the antennas. First, we introduce a data model using a von Mises distribution to re... View full abstract»

• ### Detection of Spatially Correlated Gaussian Time Series

Publication Year: 2010, Page(s):5006 - 5015
Cited by:  Papers (52)
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This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. For wide sense stationary (WSS) Gaussian processes, this is a problem of deciding between two different power spectral density matrices, one of them diagonal. Specifically, we show that for arbitrary Gaussian processes (not nece... View full abstract»

• ### Shrinkage Algorithms for MMSE Covariance Estimation

Publication Year: 2010, Page(s):5016 - 5029
Cited by:  Papers (97)
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We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are suitable for high dimensional problems with a small number of samples (large p small n). First, we improve on the Ledoit-Wolf (LW) method by conditioning on a sufficient statistic. By the Rao-Blackwell theorem, this yiel... View full abstract»

• ### Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise

Publication Year: 2010, Page(s):5030 - 5043
Cited by:  Papers (110)
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We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements A x0 + w, where w represents white Gaussian noise and A is a given deterministic dictionary. We provide theoretical performance guarantees for three sparse estimation algorithms: basis pursuit denoising (BPDN), orthogonal matching pursuit (OMP), and thresholding. The perfo... View full abstract»

• ### Estimating Multiple Frequency-Hopping Signal Parameters via Sparse Linear Regression

Publication Year: 2010, Page(s):5044 - 5056
Cited by:  Papers (25)
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Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating FH signal parameters (e.g., hopping instants, carriers, and amplitudes) is an important and challenging task, but optimum estimation incurs an unrealistic computational burden. The spectrogram has long been the starting non-param... View full abstract»

• ### Blind Separation of Gaussian Sources With General Covariance Structures: Bounds and Optimal Estimation

Publication Year: 2010, Page(s):5057 - 5068
Cited by:  Papers (26)
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We consider the separation of Gaussian sources exhibiting general, arbitrary (not necessarily stationary) covariance structures. First, assuming a semi-blind scenario, in which the sources' covariance structures are known, we derive the maximum likelihood estimate of the separation matrix, as well as the induced Cramér-Rao lower bound (iCRLB) on the attainable Interference to Source Ratio ... View full abstract»

• ### Assessment of Nonlinear Dynamic Models by Kolmogorov–Smirnov Statistics

Publication Year: 2010, Page(s):5069 - 5079
Cited by:  Papers (12)
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Model assessment is a fundamental problem in science and engineering and it addresses the question of the validity of a model in the light of empirical evidence. In this paper, we propose a method for the assessment of dynamic nonlinear models based on empirical and predictive cumulative distributions of data and the Kolmogorov-Smirnov statistics. The technique is based on the generation of discre... View full abstract»

• ### Exact Performance Analysis of the $epsilon$-NLMS Algorithm for Colored Circular Gaussian Inputs

Publication Year: 2010, Page(s):5080 - 5090
Cited by:  Papers (11)
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This paper presents exact mean-square analysis of the -NLMS algorithm for circular complex correlated Gaussian input. The analysis is based on the derivation of a closed form expression for the cumulative distribution function (CDF) of random variables of the form ∥ui∥D12/(ϵ + ∥ui∥D12) and using th... View full abstract»

• ### Direct Multi-Grid Methods for Linear Systems With Harmonic Aliasing Patterns

Publication Year: 2010, Page(s):5091 - 5105
Cited by:  Papers (1)
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Multi-level numerical methods that obtain the exact solution of a linear system are presented. The methods are devised by combining ideas from the full multi-grid algorithm and perfect reconstruction filters. The problem is stated as whether a direct solver is possible in a full multi-grid scheme by avoiding smoothing iterations and using different coarse grids at each step. The coarse grids must ... View full abstract»

• ### The Transient Spectrum of a Random System

Publication Year: 2010, Page(s):5106 - 5117
Cited by:  Papers (5)
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The frequency spectrum is a fundamental quantity for the analysis and design of a system. When a system is turned on or off, the frequency spectrum of its output changes with time. We define the transient spectrum as the time-frequency spectrum of the system output during the transient phase. We obtain the exact transient spectrum for a wide class of random systems, and we formulate it with respec... View full abstract»

• ### Time-Frequency Representation Based on an Adaptive Short-Time Fourier Transform

Publication Year: 2010, Page(s):5118 - 5128
Cited by:  Papers (29)
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In this paper, a new concise algorithm about time-frequency representation (TFR) based on an adaptive short-time Fourier transform (ASTFT) is presented. In this algorithm, the analysis window width is equal to the local stationary length which is measured by the instantaneous frequency gradient (IFG) of the signal. And the instantaneous frequency (IF) of the signal is obtained by detecting the rid... View full abstract»

• ### Joint Detection and Estimation of Multiple Objects From Image Observations

Publication Year: 2010, Page(s):5129 - 5141
Cited by:  Papers (127)
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The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as a random finite set. Analytic characterizations of the posterior distribution of this random finite set are derived for various prior distributions under the assumption that the regions of the observation influenced by i... View full abstract»

• ### Extraction of Signals With Specific Temporal Structure Using Kernel Methods

Publication Year: 2010, Page(s):5142 - 5150
Cited by:  Papers (7)
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This work derives and evaluates a method for Blind Source Extraction (BSE) in a reproducing kernel Hilbert space (RKHS) framework. The a priori information about the autocorrelation function of the signal under study is translated in a linear transformation of the Gram matrix of the transformed data in Hilbert space. Our method proved to be more robust than methods presented in the literature of B... View full abstract»

• ### Independent Component Analysis by Entropy Bound Minimization

Publication Year: 2010, Page(s):5151 - 5164
Cited by:  Papers (28)
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A novel (differential) entropy estimator is introduced where the maximum entropy bound is used to approximate the entropy given the observations, and is computed using a numerical procedure thus resulting in accurate estimates for the entropy. We show that such an estimator exists for a wide class of measuring functions, and provide a number of design examples to demonstrate its flexible nature. W... View full abstract»

• ### A Multi-Resolution Hidden Markov Model Using Class-Specific Features

Publication Year: 2010, Page(s):5165 - 5177
Cited by:  Papers (4)  |  Patents (1)
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We apply the PDF projection theorem to generalize the hidden Markov model (HMM) to accommodate multiple simultaneous segmentations of the raw data and multiple feature extraction transformations. Different segment sizes and feature transformations are assigned to each state. The algorithm averages over all allowable segmentations by mapping the segmentations to a “proxy” HMM and usin... View full abstract»

• ### Matrix-Lifting Semi-Definite Programming for Detection in Multiple Antenna Systems

Publication Year: 2010, Page(s):5178 - 5185
Cited by:  Papers (2)
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This paper presents a computationally efficient decoder for multiple antenna systems. The proposed algorithm can be used for any constellation (QAM or PSK) and any labeling method. The decoder is based on matrix-lifting semi-definite programming (SDP). The strength of the proposed method lies in a new relaxation approach applied to the previous work by Mobasher This results in a reduction of the n... View full abstract»

• ### A Bayesian Framework for Collaborative Multi-Source Signal Sensing

Publication Year: 2010, Page(s):5186 - 5195
Cited by:  Papers (16)
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This paper introduces a Bayesian framework to detect multiple signals embedded in noisy observations, from an array of sensors. For various states of knowledge on the communication channel and the noise at the receiving sensors, a marginalization procedure based on random matrix theory techniques, in conjunction with the maximum entropy principle, is used to compute the Neyman-Pearson hypothesis t... View full abstract»

• ### Convergence-Optimal Quantizer Design of Distributed Contraction-Based Iterative Algorithms With Quantized Message Passing

Publication Year: 2010, Page(s):5196 - 5205
Cited by:  Papers (4)
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In this paper, we study the convergence behavior of distributed iterative algorithms with quantized message passing. We first introduce general iterative function evaluation algorithms for solving fixed point problems distributively. We then analyze the convergence of the distributed algorithms, e.g., Jacobi scheme and Gauss-Seidel scheme, under the quantized message passing. Based on the closed-f... View full abstract»

• ### Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference

Publication Year: 2010, Page(s):5206 - 5218
Cited by:  Papers (4)
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This paper presents a general stochastic model developed for a class of cooperative wireless relay networks, in which imperfect knowledge of the channel state information at the destination node is assumed. The framework incorporates multiple relay nodes operating under general known nonlinear processing functions. When a nonlinear relay function is considered, the likelihood function is generally... View full abstract»

• ### Limited Feedback for Temporally Correlated MIMO Channels With Other Cell Interference

Publication Year: 2010, Page(s):5219 - 5232
Cited by:  Papers (15)
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Limited feedback improves link reliability with a small amount of feedback from the receiver to the transmitter. In cellular systems, the performance of limited feedback will be degraded in the presence of other cell interference, when the base stations have limited or no coordination. This paper establishes the degradation in sum rate of users in a cellular system, due to uncoordinated other cell... View full abstract»

• ### MIMO Relaying Broadcast Channels With Linear Precoding and Quantized Channel State Information Feedback

Publication Year: 2010, Page(s):5233 - 5245
Cited by:  Papers (43)
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Multi-antenna relaying has emerged as a promising technology to enhance the system performance in cellular networks. However, when precoding techniques are utilized to obtain multi-antenna gains, the system generally requires channel state information (CSI) at the transmitters. We consider a linear precoding scheme in a MIMO relaying broadcast channel with quantized CSI feedback from both two-hop ... View full abstract»

• ### Eigen-Based Transceivers for the MIMO Broadcast Channel With Semi-Orthogonal User Selection

Publication Year: 2010, Page(s):5246 - 5261
Cited by:  Papers (28)
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This paper studies the sum rate performance of two low complexity eigenmode-based transmission techniques for the MIMO broadcast channel, employing greedy semi-orthogonal user selection (SUS). The first approach, termed ZFDPC-SUS, is based on zero-forcing dirty paper coding; the second approach, termed ZFBF-SUS, is based on zero-forcing beamforming. We first employ new analytical methods to prove ... 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
Pier Luigi Dragotti
Imperial College London