# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 35
• ### [Front cover]

Publication Year: 2013, Page(s): C1
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• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2013, Page(s): C2
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Publication Year: 2013, Page(s):2425 - 2426
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Publication Year: 2013, Page(s):2427 - 2428
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• ### Low-Latency Sequential and Overlapped Architectures for Successive Cancellation Polar Decoder

Publication Year: 2013, Page(s):2429 - 2441
Cited by:  Papers (53)
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Polar codes have recently emerged as one of the most favorable capacityachieving error correction codes due to their low encoding and decoding complexity. However, because of the large code length required by practical applications, the few existing successive cancellation (SC) decoder implementations still suffer from not only high hardware cost but also long decoding latency. In this paper, a da... View full abstract»

• ### Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes

Publication Year: 2013, Page(s):2442 - 2453
Cited by:  Papers (32)
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This paper presents an unsupervised algorithm for nonlinear unmixing of hyperspectral images. The proposed model assumes that the pixel reflectances result from a nonlinear function of the abundance vectors associated with the pure spectral components. We assume that the spectral signatures of the pure components and the nonlinear function are unknown. The first step of the proposed method estimat... View full abstract»

• ### Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid

Publication Year: 2013, Page(s):2454 - 2472
Cited by:  Papers (55)
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The electric energy distribution infrastructure is undergoing a startling technological evolution with the development of the smart grid concept, which allows more interaction between the supply- and the demand-side of the network and results in a great optimization potential. In this paper, we focus on a smart grid in which the demand-side comprises traditional users as well as users owning some ... View full abstract»

• ### On U-Statistics and Compressed Sensing I: Non-Asymptotic Average-Case Analysis

Publication Year: 2013, Page(s):2473 - 2485
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Hoeffding's U-statistics model combinatorial-type matrix parameters (appearing in CS theory) in a natural way. This paper proposes using these statistics for analyzing random compressed sensing matrices, in the non-asymptotic regime (relevant to practice). The aim is to address certain pessimisms of "worst-case" restricted isometry analyses, as observed by both Blanchard & Dossal, et. al. We s... View full abstract»

• ### On U-Statistics and Compressed Sensing II: Non-Asymptotic Worst-Case Analysis

Publication Year: 2013, Page(s):2486 - 2497
Cited by:  Papers (2)
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In another related work, U-statistics were used for non-asymptotic average-case analysis of random compressed sensing matrices. In this companion paper the same analytical tool is adopted differently-here we perform non-asymptotic worst-case analysis. Simple union bounds are a natural choice for worst-case analyses, however their tightness is an issue (and questioned in previous works). Here we fo... View full abstract»

• ### Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators

Publication Year: 2013, Page(s):2498 - 2511
Cited by:  Papers (27)
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Sparse and structured signal expansions on dictionaries can be obtained through explicit modeling in the coefficient domain. The originality of the present article lies in the construction and the study of generalized shrinkage operators, whose goal is to identify structured significance maps and give rise to structured thresholding. These generalize Group-Lasso and the previously introduced Eliti... View full abstract»

• ### Weighted Sum Rate Maximization for Downlink OFDMA With Subcarrier-Pair Based Opportunistic DF Relaying

Publication Year: 2013, Page(s):2512 - 2524
Cited by:  Papers (23)
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This paper addresses a weighted sum rate (WSR) maximization problem for downlink OFDMA aided by a decode-and-forward (DF) relay under a total power constraint. A novel subcarrier-pair based opportunistic DF relaying protocol is proposed. Specifically, user message bits are transmitted in two time slots. A subcarrier in the first slot can be paired with a subcarrier in the second slot for the DF re... View full abstract»

• ### Schedule Communication for Decentralized State Estimation

Publication Year: 2013, Page(s):2525 - 2535
Cited by:  Papers (10)
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This paper considers decentralized state estimation subject to communication constraints. A group of agents measure the state of a process and obtain their state estimates by exchanging data with each other. Due to the communication constraint, only a few communication channels are available. The main objective of this paper is to allocate these channels among the agents so as to minimize their av... View full abstract»

• ### Secure Communication Via an Untrusted Non-Regenerative Relay in Fading Channels

Publication Year: 2013, Page(s):2536 - 2550
Cited by:  Papers (66)
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We investigate a relay network where the source can potentially utilize an untrusted non-regenerative relay to augment its direct transmission of a confidential message to the destination. Since the relay is untrusted, it is desirable to protect the confidential data from it while simultaneously making use of it to increase the reliability of the transmission. We first examine the secrecy outage p... View full abstract»

• ### Insights Into MUSIC-Like Algorithm

Publication Year: 2013, Page(s):2551 - 2556
Cited by:  Papers (6)  |  Patents (1)
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In this work, we focus on a recent algorithm [Z. Ying and B. P. Ng, “MUSIC-like DOA Estaimation Without Estimating the Number of Sources,” IEEE Trans. Signal Process., vol. 58, no. 3, pp. 1668-1676, 2010], which is remarked to have multiple signal classification (MUSIC)-like performance without requiring to segregate the signal and noise subspaces. The optimization problem solved by ... View full abstract»

• ### Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability

Publication Year: 2013, Page(s):2557 - 2571
Cited by:  Papers (7)
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We find the exact rate for convergence in probability of products of independent, identically distributed symmetric, stochastic matrices. It is well-known that if the matrices have positive diagonals almost surely and the support graph of the mean or expected value of the random matrices is connected, the products of the matrices converge almost surely to the average consensus matrix, and thus in ... View full abstract»

• ### Distributed Particle Filter Implementation With Intermittent/Irregular Consensus Convergence

Publication Year: 2013, Page(s):2572 - 2587
Cited by:  Papers (29)
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Motivated by non-linear, non-Gaussian, distributed multi-sensor/agent navigation and tracking applications, we propose a multi-rate consensus/fusion based framework for distributed implementation of the particle filter (CF/DPF). The CF/DPF framework is based on running localized particle filters to estimate the overall state vector at each observation node. Separate fusion filters are designed to ... View full abstract»

• ### Model Estimation and Classification Via Model Structure Determination

Publication Year: 2013, Page(s):2588 - 2597
Cited by:  Papers (2)
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In model estimation, we often face problems with unknown parameters in the candidate models. This paper proposes the model structure determination (MSD) for model estimation with unknown parameters. We start with the problem of model order selection and decompose the probability density function (PDF) into the information provided by the data about the model parameters and that of the model struct... View full abstract»

• ### Limited Feedback Design for Interference Alignment on MIMO Interference Networks With Heterogeneous Path Loss and Spatial Correlations

Publication Year: 2013, Page(s):2598 - 2607
Cited by:  Papers (34)
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Interference alignment is degree of freedom optimal on -user MIMO interference channels and many previous works have studied the transceiver designs. However, these works predominantly focus on networks with perfect channel state information at the transmitters and symmetrical interference topology. In this paper, we consider a limited feedback system with heterogeneous path loss and spatial corre... View full abstract»

• ### A Novel Dynamic Programming Algorithm for Track-Before-Detect in Radar Systems

Publication Year: 2013, Page(s):2608 - 2619
Cited by:  Papers (54)  |  Patents (1)
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In this paper we present a novel procedure for multi-frame detection in radar systems. The proposed architecture consists of a pre-processing stage, which extracts a set of candidate alarms (or plots) from the raw data measurements (e.g., this can be the Detector and Plot-Extractor of common radar systems), and a track-before-detect (TBD) processor, which jointly elaborates observations from multi... View full abstract»

• ### Full Rank Solutions for the MIMO Gaussian Wiretap Channel With an Average Power Constraint

Publication Year: 2013, Page(s):2620 - 2631
Cited by:  Papers (29)
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This paper considers a multiple-input multiple-output (MIMO) Gaussian wiretap channel with a transmitter, a legitimate receiver and an eavesdropper, each equipped with multiple antennas. We first study the rank of the optimal input covariance matrix that achieves the secrecy capacity of the MIMO Gaussian wiretap channel under an average power constraint. The rank and other properties of the optima... View full abstract»

• ### The Recursive Form of Error Bounds for RFS State and Observation With $P_d < 1$

Publication Year: 2013, Page(s):2632 - 2646
Cited by:  Papers (5)
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This paper presents recursive performance bounds for dynamic estimation and tracking problems in both single and multiple target cases within the framework of finite set statistics. Because the targets can appear and disappear when the detection probability of a sensor is less than unity (Pd <; 1), we must determine the existence or nonexistence of the state as well as its value. Fol... View full abstract»

• ### An Energy-Efficient Framework for the Analysis of MIMO Slow Fading Channels

Publication Year: 2013, Page(s):2647 - 2659
Cited by:  Papers (12)
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In this paper, a new energy-efficiency performance metric is proposed for multiple-input multiple-output (MIMO) point-to-point systems. In contrast with related works on energy-efficiency, this metric translates the effects of using finite blocks for transmitting, using channel estimates at the transmitter and receiver, and considering the total power consumed by the transmitter instead of the rad... View full abstract»

• ### Joint Multicast Beamforming and Antenna Selection

Publication Year: 2013, Page(s):2660 - 2674
Cited by:  Papers (49)
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Multicast beamforming exploits subscriber channel state information at the base station to steer the transmission power towards the subscribers, while minimizing interference to other users and systems. Such functionality has been provisioned in the long-term evolution (LTE) enhanced multimedia broadcast multicast service (EMBMS). As antennas become smaller and cheaper relative to up-conversion ch... View full abstract»

• ### Phase Noise in MIMO Systems: Bayesian Cramér–Rao Bounds and Soft-Input Estimation

Publication Year: 2013, Page(s):2675 - 2692
Cited by:  Papers (8)
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This paper addresses the problem of estimating time varying phase noise caused by imperfect oscillators in multiple-input multiple-output (MIMO) systems. The estimation problem is parameterized in detail and based on an equivalent signal model its dimensionality is reduced to minimize the overhead associated with phase noise estimation. New exact and closed-form expressions for the Bayesian Crame&... View full abstract»

• ### Frugal Sensing: Wideband Power Spectrum Sensing From Few Bits

Publication Year: 2013, Page(s):2693 - 2703
Cited by:  Papers (32)
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Wideband spectrum sensing is a key requirement for cognitive radio access. It now appears increasingly likely that spectrum sensing will be performed using networks of sensors, or crowd-sourced to handheld mobile devices. Here, a network sensing scenario is considered, where scattered low-end sensors filter and measure the average signal power across a band of interest, and each sensor communicate... 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