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# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 52

Publication Year: 2011, Page(s):C1 - C4
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• ### IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans publication information

Publication Year: 2011, Page(s): C2
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• ### Parameters Estimation of Complex Multitone Signal in the DFT Domain

Publication Year: 2011, Page(s):3001 - 3012
Cited by:  Papers (8)
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In a previous paper, a method was introduced that used a system of linear equations to determine the frequency and the complex amplitude of a complex single tone signal. The system of linear equations was derived from the model of a complex single tone in the DFT domain and was used as parameters estimator in noisy conditions. In this paper, this approach is extended to a complex multitone signal.... View full abstract»

• ### Multidimensional STSA Estimators for Speech Enhancement With Correlated Spectral Components

Publication Year: 2011, Page(s):3013 - 3024
Cited by:  Papers (12)
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Speech enhancement algorithms are used to remove background noise in a speech signal. In Bayesian short-time spectral amplitude (STSA) estimation for single-channel speech enhancement, the spectral components are traditionally assumed uncorrelated. However, this assumption is inexact since some correlation is present in practice. In this paper, we investigate a multidimensional Bayesian STSA estim... View full abstract»

• ### Testing for Quaternion Propriety

Publication Year: 2011, Page(s):3025 - 3034
Cited by:  Papers (11)
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We consider the problem of testing whether a quaternion-valued Gaussian random vector is proper. The quaternion covariance matrix fully describes the second-order properties of a quaternion random vector only if the distribution is proper. The exact distribution of the likelihood ratio test under the hypothesis of propriety is derived for general sample size N and vector dimensionality ... View full abstract»

• ### Robust Clock Synchronization in Wireless Sensor Networks Through Noise Density Estimation

Publication Year: 2011, Page(s):3035 - 3047
Cited by:  Papers (11)
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Assuming that the network delays are normally distributed and the network nodes are subject to clock phase offset errors, the maximum likelihood estimator (MLE) and the Kalman filter (KF) have been recently proposed with the goal of maximizing the clock synchronization accuracy in wireless sensor networks (WSNs). However, because the network delays may assume any distribution and the performance o... View full abstract»

• ### Robust ${{cal H}}_{infty}$ Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case

Publication Year: 2011, Page(s):3048 - 3057
Cited by:  Papers (166)
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This paper addresses the robust H filtering problem for a class of discrete time-varying Markovian jump systems with randomly occurring nonlinearities and sensor saturation. Two kinds of transition probability matrices for the Markovian process are considered, namely, the one with polytopic uncertainties and the one with partially unknown entries. The nonlinear disturbanc... View full abstract»

• ### Oversampled Paraunitary DFT Filter Banks: A General Construction Algorithm and Some Specific Solutions

Publication Year: 2011, Page(s):3058 - 3070
Cited by:  Papers (7)
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Oversampled filter banks are at the center of essential signal processing systems, either for source coding or for transmission applications. Among this class of filter banks (FBs), the case of oversampled discrete Fourier transform (DFT) filter banks is particularly important since it leads to efficient algorithm implementations. However, up to now, no general construction algorithm has been prop... View full abstract»

• ### Centralized and Distributed Semiparametric Compression of Piecewise Smooth Functions

Publication Year: 2011, Page(s):3071 - 3085
Cited by:  Papers (1)
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This paper introduces novel wavelet-based semiparametric centralized and distributed compression methods for a class of 1-D piecewise smooth functions. Classical centralized compression schemes are based on a relatively complex, nonlinear encoder and a simple, linear decoder. Recently, a new paradigm in compression called distributed source coding has emerged. This setup involves multiple encoders... View full abstract»

• ### A Time-Frequency-Based Approach to Phase and Phase Synchrony Estimation

Publication Year: 2011, Page(s):3086 - 3098
Cited by:  Papers (29)
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Time-varying phase synchrony is an important bivariate measure that quantifies the dynamics between nonstationary signals and has been widely used in many applications including chaotic oscillators in physics and multichannel electroencephalography recordings in neuroscience. Current state-of-the-art in time-varying phase estimation uses either the Hilbert transform or the complex wavelet transfor... View full abstract»

• ### Fault Detection Filter Design for Markovian Jump Singular Systems With Intermittent Measurements

Publication Year: 2011, Page(s):3099 - 3109
Cited by:  Papers (75)
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This paper addresses the problem of fault detection filter design for discrete-time Markovian jump singular systems with intermittent measurements. The measurement transmission from the plant to the fault detection filter is assumed to be imperfect and a stochastic variable is utilized to model the phenomenon of data missing. Our attention is focused on the design of a fault detection filter such ... View full abstract»

• ### Second-Order Extended $H_{infty}$ Filter for Nonlinear Discrete-Time Systems Using Quadratic Error Matrix Approximation

Publication Year: 2011, Page(s):3110 - 3119
Cited by:  Papers (10)
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In this paper, the second-order extended (SOE) H filter for nonlinear discrete-time systems is derived based on an approximation to the quadratic error matrix. The solution is obtained by the game theory approach. It is shown that the result bears a strong resemblance to the SOE Kalman filter when the performance bound goes to infinity. An example of vehicle state tracking is si... View full abstract»

• ### Subspace Evolution and Transfer (SET) for Low-Rank Matrix Completion

Publication Year: 2011, Page(s):3120 - 3132
Cited by:  Papers (25)
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We describe a new algorithm, termed subspace evolution and transfer (SET), for solving consistent low-rank matrix completion problems. The algorithm takes as its input a subset of entries of a low-rank matrix and outputs one low-rank matrix consistent with the given observations. The completion task is accomplished by searching for a column space in the Grassmann manifold that matches the incomple... View full abstract»

• ### Convex-Programming Design of Linear and Nonlinear Phase Wideband Blocking Filters

Publication Year: 2011, Page(s):3133 - 3142
Cited by:  Papers (2)
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Blocking filters are commonly used in array processing to excise targets from data when suitable target-free training data is not available. A drawback is the reduction of the effective size of the array by the order of the filter, motivating a search for the smallest filter that meets the design specifications. Common linear-phase approaches lead to convex optimization and efficient global soluti... View full abstract»

• ### Variational Bayesian Learning of Probabilistic Discriminative Models With Latent Softmax Variables

Publication Year: 2011, Page(s):3143 - 3154
Cited by:  Papers (8)
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This paper presents new variational Bayes (VB) approximations for learning probabilistic discriminative models with latent softmax variables, such as subclass-based multimodal softmax and mixture of experts models. The VB approximations derived here lead to closed-form approximate parameter posteriors and suitable metrics for model selection. Unlike other Bayesian methods for this challenging clas... View full abstract»

• ### Gaussian Processes for Underdetermined Source Separation

Publication Year: 2011, Page(s):3155 - 3167
Cited by:  Papers (34)
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Gaussian process (GP) models are very popular for machine learning and regression and they are widely used to account for spatial or temporal relationships between multivariate random variables. In this paper, we propose a general formulation of underdetermined source separation as a problem involving GP regression. The advantage of the proposed unified view is first to describe the different unde... View full abstract»

• ### Binary Independent Component Analysis With or Mixtures

Publication Year: 2011, Page(s):3168 - 3181
Cited by:  Papers (11)
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Independent component analysis (ICA) is a computational method for separating a multivariate signal into subcomponents assuming the mutual statistical independence of the non-Gaussian source signals. The classical independent components analysis (ICA) framework usually assumes linear combinations of independent sources over the field of real-valued numbers R. In this paper, we investigate binary I... View full abstract»

Publication Year: 2011, Page(s):3182 - 3196
Cited by:  Papers (33)
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A Bayesian dynamic model based on multitask learning (MTL) is developed for radar automatic target recognition (RATR) using high-resolution range profile (HRRP). The aspect-dependent HRRP sequence is modeled using a truncated stick-breaking hidden Markov model (TSB-HMM) with time-evolving transition probabilities, in which the spatial structure across range cells is described by the hidden Markov ... View full abstract»

• ### Computationally Efficient Subspace-Based Method for Two-Dimensional Direction Estimation With L-Shaped Array

Publication Year: 2011, Page(s):3197 - 3212
Cited by:  Papers (49)
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In order to mitigate the effect of additive noises and reduce the computational burden, we propose a new computationally efficient cross-correlation based two-dimensional (2-D) direction-of-arrivals (DOAs) estimation (CODE) method for noncoherent narrowband signals impinging on the L-shaped sensor array structured by two uniform linear arrays (ULAs). By estimating the azimuth and elevation angles ... View full abstract»

• ### The Extended Invariance Principle for Signal Parameter Estimation in an Unknown Spatial Field

Publication Year: 2011, Page(s):3213 - 3225
Cited by:  Papers (8)
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This paper treats the problem of joint estimation of time-delay, Doppler frequency, and spatial (direction-of-arrival or DOA) parameters of several replicas of a known signal in an unknown spatially correlated noise field. Both spatially unstructured and structured data models have been proposed for this problem and corresponding maximum likelihood (ML) estimators have been derived. However, struc... View full abstract»

• ### Power Allocation Strategies for Target Localization in Distributed Multiple-Radar Architectures

Publication Year: 2011, Page(s):3226 - 3240
Cited by:  Papers (69)
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Widely distributed multiple radar architectures offer parameter estimation improvement for target localization. For a large number of radars, the achievable localization minimum estimation mean-square error (MSE), with full resource allocation, may extend beyond the predetermined system performance goals. In this paper, performance driven resource allocation schemes for multiple radar systems are ... View full abstract»

• ### MIMO Radar Sensitivity Analysis for Target Detection

Publication Year: 2011, Page(s):3241 - 3250
Cited by:  Papers (23)
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We consider the effect of imperfect separability in the received signals on the detection performance of multi-input multi-output (MIMO) radar with widely separated antennas. The mutual orthogonality among the received signals is often assumed but cannot be achieved in practice for all Doppler and delay pairs. We introduce a data model considering the correlation among the data from different tran... View full abstract»

• ### IAA Spectral Estimation: Fast Implementation Using the Gohberg–Semencul Factorization

Publication Year: 2011, Page(s):3251 - 3261
Cited by:  Papers (17)
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We consider fast implementations of the weighted least-squares based iterative adaptive approach (IAA) for one-dimensional (1-D) and two-dimensional (2-D) spectral estimation of uniformly sampled data. IAA is a robust, user parameter-free and nonparametric adaptive algorithm that can work with a single data sequence or snapshot. Compared to the conventional periodogram, IAA can be used to signific... View full abstract»

• ### Robust Waveform Design for MIMO Radars

Publication Year: 2011, Page(s):3262 - 3271
Cited by:  Papers (13)
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The problem of robust waveform design for multiple-input, multiple-output radars equipped with widely spaced antennas is addressed here. Robust design is needed as a number of parameters may be unknown, e.g., the target scattering covariance matrix and the disturbance covariance matrix. Following a min-max approach, the code matrix is designed to minimize the worst-case cost over all possible targ... View full abstract»

• ### Extended Array Manifolds: Functions of Array Manifolds

Publication Year: 2011, Page(s):3272 - 3287
Cited by:  Papers (5)
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The response of an array processing system has been widely modelled using the concept of the array manifold. The conventional array manifold is a function of the geometry of the array, the carrier frequency and the directions of arrival (DOAs) of the sources only. However, the emergence of more sophisticated array systems, for instance antenna array communication systems, dictates the extension of... 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