IEEE Transactions on Signal Processing

Volume 58 Issue 3  Part 1 • March 2010

This issue contains several parts.Go to:  Part 2

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Displaying Results 1 - 25 of 51

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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• Statistical Detection of Congestion in Routers

Publication Year: 2010, Page(s):957 - 968
Cited by:  Papers (8)
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Detection of congestion plays a key role in numerous networking protocols, including those driving active queue management (AQM) methods used in congestion control in Internet routers. This paper exploits the rich theory of statistical detection theory to develop simple detection mechanisms that can further enhance current AQM methods. The detection of congestion is performed using a maximum-likel... View full abstract»

• Frequency-Domain Correlation: An Asymptotically Optimum Approximation of Quadratic Likelihood Ratio Detectors

Publication Year: 2010, Page(s):969 - 979
Cited by:  Papers (20)
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An approximate implementation is formulated and analyzed for the detection of wide-sense stationary Gaussian stochastic signals in white Gaussian noise. For scalar processes, the approximate detector can be realized as the correlation between the periodogram of the observations and an appropriately selected spectral mask, and thus is termed the frequency-domain correlation detector. Through the as... View full abstract»

• A Statistical Analysis of Morse Wavelet Coherence

Publication Year: 2010, Page(s):980 - 989
Cited by:  Papers (8)
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Wavelet coherence computed from two time series has been widely applied in hypothesis testing situations, but has proven resistant to analytic study, with resort to simulations for statistical properties. As part of the null hypothesis being tested, such simulations invariably assume joint stationarity of the series. If estimated using multiple orthogonal Morse wavelets, wavelet coherence is in fa... View full abstract»

• Blind MIMO-AR System Identification and Source Separation With Finite-Alphabet

Publication Year: 2010, Page(s):990 - 1000
Cited by:  Papers (11)
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In this paper, a new method for system identification and blind source separation in a multiple-input multiple-output (MIMO) system is proposed. The MIMO channel is modeled by a multi-dimensional autoregressive (AR) system. The transmitted signals are assumed to take values from a finite alphabet, modeled by the Gaussian mixture model (GMM) with infinitesimal variances. The expectation-maximizatio... View full abstract»

• Robust Estimation of a Random Parameter in a Gaussian Linear Model With Joint Eigenvalue and Elementwise Covariance Uncertainties

Publication Year: 2010, Page(s):1001 - 1011
Cited by:  Papers (10)
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We consider the estimation of a Gaussian random vector x observed through a linear transformation H and corrupted by additive Gaussian noise with a known covariance matrix, where the covariance matrix of x is known to lie in a given region of uncertainty that is described using bounds on the eigenvalues and on the elements of the covariance matrix. Recently, two criteria for m... View full abstract»

• Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure

Publication Year: 2010, Page(s):1012 - 1024
Cited by:  Papers (8)
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In this paper, we consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale, and the coarser, hidden variables serve to capture long-distance dependencies. Tree-structured MR models have limited modeling capabilities, as variables at one scale are forced to be uncorrelated with each other conditioned on other scales. We propose a new... View full abstract»

• A Recursive Method for the Approximation of LTI Systems Using Subband Processing

Publication Year: 2010, Page(s):1025 - 1034
Cited by:  Papers (4)
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Using the subband technique, an LTI system can be implemented by the composition of an analysis filterbank, followed by a transfer matrix (subband model) and a synthesis filterbank. The advantage of this approach is that it offers a good tradeoff between latency and computational complexity. In this paper we propose an optimization method for approximating an LTI system using the subband technique... View full abstract»

• Diffusion LMS Strategies for Distributed Estimation

Publication Year: 2010, Page(s):1035 - 1048
Cited by:  Papers (439)  |  Patents (1)
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We consider the problem of distributed estimation, where a set of nodes is required to collectively estimate some parameter of interest from noisy measurements. The problem is useful in several contexts including wireless and sensor networks, where scalability, robustness, and low power consumption are desirable features. Diffusion cooperation schemes have been shown to provide good performance, r... View full abstract»

• Adaptive Filter Algorithms for Accelerated Discrete-Time Consensus

Publication Year: 2010, Page(s):1049 - 1058
Cited by:  Papers (11)
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In many distributed systems, the objective is to reach agreement on values acquired by the nodes in a network. A common approach to solve such problems is the iterative, weighted linear combination of those values to which each node has access. Methods to compute appropriate weights have been extensively studied, but the resulting iterative algorithms still require many iterations to provide a fai... View full abstract»

• Empirical Mode Decomposition for Trivariate Signals

Publication Year: 2010, Page(s):1059 - 1068
Cited by:  Papers (79)
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An extension of empirical mode decomposition (EMD) is proposed in order to make it suitable for operation on trivariate signals. Estimation of local mean envelope of the input signal, a critical step in EMD, is performed by taking projections along multiple directions in three-dimensional spaces using the rotation property of quaternions. The proposed algorithm thus extracts rotating components em... View full abstract»

• Subspace-Based Rational Interpolation of Analytic Functions From Phase Data

Publication Year: 2010, Page(s):1069 - 1081
Cited by:  Papers (8)
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In this paper, two simple subspace-based identification algorithms to identify stable linear-time-invariant systems from corrupted phase samples of frequency response function are developed. The first algorithm uses data sampled at nonuniformly spaced frequencies and is strongly consistent if corruptions are zero-mean additive random variables with a known covariance function. However, this algori... View full abstract»

• An Impossibility Result for Linear Signal Processing Under Thresholding

Publication Year: 2010, Page(s):1082 - 1094
Cited by:  Papers (4)
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In this paper, we analyze the approximation of the outputs of linear time-invariant systems by sampling series that use only the samples of the input signal. The samples are disturbed by the threshold operator, which sets all samples with an absolute value smaller than some threshold to zero. We do the analysis for the space of Paley-Wiener signals with absolutely integrable Fourier transform and ... View full abstract»

• Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Publication Year: 2010, Page(s):1095 - 1109
Cited by:  Papers (25)  |  Patents (8)
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We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin to a Slepian-Wolf setup, but in the sampling rather than the lossless compression case. Two different scenarios are considered: In the case of universal reconstruction, we look for a sensing and recovery mechanism that wo... View full abstract»

• Fast Computation of Frequency Warping Transforms

Publication Year: 2010, Page(s):1110 - 1121
Cited by:  Papers (17)
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In this paper, we introduce an analytical approach for the frequency warping transform. Criteria for the design of operators based on arbitrary warping maps are provided and an algorithm carrying out a fast computation is defined. Such operators can be used to shape the tiling of time-frequency (TF) plane in a flexible way. Moreover, they are designed to be inverted by the application of their adj... View full abstract»

• Improved Twiddle Access for Fast Fourier Transforms

Publication Year: 2010, Page(s):1122 - 1130
Cited by:  Papers (8)
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Optimizing the number of arithmetic operations required in fast Fourier transform (FFT) algorithms has been the focus of extensive research, but memory management is of comparable importance on modern processors. In this article, we investigate two known FFT algorithms, G and GT , that are similar to Cooley-Tukey decimation-in-time and decimation-in-frequency FFT algorithms but that ... View full abstract»

• A Subband Adaptive Iterative Shrinkage/Thresholding Algorithm

Publication Year: 2010, Page(s):1131 - 1143
Cited by:  Papers (22)
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We investigate a subband adaptive version of the popular iterative shrinkage/thresholding algorithm that takes different update steps and thresholds for each subband. In particular, we provide a condition that ensures convergence and discuss why making the algorithm subband adaptive accelerates the convergence. We also give an algorithm to select appropriate update steps and thresholds for when th... View full abstract»

• Multirate Synchronous Sampling of Sparse Multiband Signals

Publication Year: 2010, Page(s):1144 - 1156
Cited by:  Papers (14)  |  Patents (1)
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Recent advances in electro-optical systems make them ideal for undersampling multiband signals with very high carrier frequencies. In this paper, we propose a new scheme for sampling and reconstructing of a multiband sparse signals that occupy a small part of a given broad frequency range under the constraint of a small number of sampling channels. The locations of the signal bands are not known <... View full abstract»

• Convolution on the $n$-Sphere With Application to PDF Modeling

Publication Year: 2010, Page(s):1157 - 1170
Cited by:  Papers (7)
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In this paper, we derive an explicit form of the convolution theorem for functions on an n -sphere. Our motivation comes from the design of a probability density estimator for n -dimensional random vectors. We propose a probability density function (pdf) estimation method that uses the derived convolution result on Sn. Random samples are mapped onto the n -sphere an... View full abstract»

• Singular Value Decompositions and Low Rank Approximations of Tensors

Publication Year: 2010, Page(s):1171 - 1182
Cited by:  Papers (20)
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The singular value decomposition is among the most important tools in numerical analysis for solving a wide scope of approximation problems in signal processing, model reduction, system identification and data compression. Nevertheless, there is no straightforward generalization of the algebraic concepts underlying the classical singular values and singular value decompositions to multilinear func... View full abstract»

• Joint Nonlinear Channel Equalization and Soft LDPC Decoding With Gaussian Processes

Publication Year: 2010, Page(s):1183 - 1192
Cited by:  Papers (10)
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In this paper, we introduce a new approach for nonlinear equalization based on Gaussian processes for classification (GPC). We propose to measure the performance of this equalizer after a low-density parity-check channel decoder has detected the received sequence. Typically, most channel equalizers concentrate on reducing the bit error rate, instead of providing accurate posterior probability esti... View full abstract»

• Resolution Enhancement in $SigmaDelta$ Learners for Superresolution Source Separation

Publication Year: 2010, Page(s):1193 - 1204
Cited by:  Papers (3)
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Many source separation algorithms fail to deliver robust performance when applied to signals recorded using high-density sensor arrays where the distance between sensor elements is much less than the wavelength of the signals. This can be attributed to limited dynamic range (determined by analog-to-digital conversion) of the sensor which is insufficient to overcome the artifacts due to large cross... View full abstract»

• Evolution of Resource Reciprocation Strategies in P2P Networks

Publication Year: 2010, Page(s):1205 - 1218
Cited by:  Papers (7)
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In this paper, we consider the resource reciprocation among self-interested peers in peer-to-peer (P2P) networks, which is modeled as a stochastic game. Peers play the game by determining their optimal strategies for resource distributions using a Markov decision process (MDP) framework. The optimal strategies enable the peers to maximize their long-term utility. Unlike in conventional MDP framewo... View full abstract»

• On-Line Prediction of Nonstationary Variable-Bit-Rate Video Traffic

Publication Year: 2010, Page(s):1219 - 1237
Cited by:  Papers (13)
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In this paper, we propose a model-based bandwidth prediction scheme for variable-bit-rate (VBR) video traffic with regular group of pictures (GOP) pattern. Multiplicative ARIMA (autoregressive integrated moving-average) process called GOP ARIMA (ARIMA for GOP) is used as a base stochastic model, which consists of two key ingredients: prediction and model validity check. For traffic prediction, we ... 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