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# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 33
• ### [Front cover]

Publication Year: 2014, Page(s): C1
| PDF (208 KB)
• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2014, Page(s): C2
| PDF (135 KB)

Publication Year: 2014, Page(s):2181 - 2182
| PDF (215 KB)

Publication Year: 2014, Page(s):2183 - 2184
| PDF (216 KB)
• ### Secure Beamforming for MIMO Two-Way Communications With an Untrusted Relay

Publication Year: 2014, Page(s):2185 - 2199
Cited by:  Papers (46)
| | PDF (4123 KB) | HTML

This paper studies the secure beamforming design in a multiple-antenna three-node system where two source nodes exchange messages with the help of an untrusted relay node. The relay acts as both an essential signal forwarder and a potential eavesdropper. Both two-phase and three-phase two-way relay strategies are considered. Our goal is to jointly optimize the source and relay beamformers for maxi... View full abstract»

• ### Optimal Power Allocation for Parameter Tracking in a Distributed Amplify-and-Forward Sensor Network

Publication Year: 2014, Page(s):2200 - 2211
Cited by:  Papers (10)
| | PDF (2982 KB) | HTML

We consider the problem of optimal power allocation in a sensor network where the sensors observe a dynamic parameter in noise and coherently amplify and forward their observations to a fusion center (FC). The FC uses the observations in a Kalman filter to track the parameter, and we show how to find the optimal gain and phase of the sensor transmissions under both global and individual power cons... View full abstract»

• ### Sparsity-Aware Sphere Decoding: Algorithms and Complexity Analysis

Publication Year: 2014, Page(s):2212 - 2225
Cited by:  Papers (10)
| | PDF (3492 KB) | HTML

Integer least-squares problems, concerned with solving a system of equations where the components of the unknown vector are integer-valued, arise in a wide range of applications. In many scenarios the unknown vector is sparse, i.e., a large fraction of its entries are zero. Examples include applications in wireless communications, digital fingerprinting, and array-comparative genomic hybridization... View full abstract»

• ### Fourier-Based Transmit Beampattern Design Using MIMO Radar

Publication Year: 2014, Page(s):2226 - 2235
Cited by:  Papers (20)
| | PDF (2127 KB) | HTML

In multiple-input multiple-output (MIMO) radar settings, it is often desirable to transmit power only to a given location or set of locations defined by a beampattern. Transmit waveform design is a topic that has received much attention recently, involving synthesis of both the signal covariance matrix, R, as well as the actual waveforms. Current methods involve a two-step process of designing R v... View full abstract»

• ### Comment on “Energy Aware Iterative Source Localization for Wireless Sensor Networks”

Publication Year: 2014, Page(s):2236 - 2237
| | PDF (499 KB) | HTML

A recent paper [E. Masazade, R. Niu, P. K. Varshney, and M. Keskinoz, “Energy Aware Iterative Source Localization for Wireless Sensor Networks”, IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4824-4835, 2010] presents an iterative source localization scheme based on the selection of sensors. An importance sampling based Monte Carlo method was employed at each iteration u... View full abstract»

• ### Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian Inputs

Publication Year: 2014, Page(s):2238 - 2249
Cited by:  Papers (15)
| | PDF (2492 KB) | HTML

This paper studies the stochastic behavior of the LMS and NLMS algorithms for a system identification framework when the input signal is a cyclostationary white Gaussian process. The input cyclostationary signal is modeled by a white Gaussian random process with periodically time-varying power. Mathematical models are derived for the mean and mean-square-deviation (MSD) behavior of the adaptive we... View full abstract»

• ### Bayesian Quadratic Network Game Filters

Publication Year: 2014, Page(s):2250 - 2264
Cited by:  Papers (9)
| | PDF (3561 KB) | HTML

A repeated network game where agents have quadratic utilities that depend on information externalities-an unknown underlying state-as well as payoff externalities-the actions of all other agents in the network-is considered. Agents play Bayesian Nash Equilibrium strategies with respect to their beliefs on the state of the world and the actions of all other nodes in the network. These beliefs are r... View full abstract»

• ### Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements

Publication Year: 2014, Page(s):2265 - 2277
Cited by:  Papers (17)
| | PDF (4470 KB) | HTML

This paper determines to within a single measurement the minimum number of measurements required to successfully reconstruct a signal drawn from a Gaussian mixture model in the low-noise regime. The method is to develop upper and lower bounds that are a function of the maximum dimension of the linear subspaces spanned by the Gaussian mixture components. The method not only reveals the existence or... View full abstract»

• ### MIMO Radar Transmit Beampattern Design Without Synthesising the Covariance Matrix

Publication Year: 2014, Page(s):2278 - 2289
Cited by:  Papers (21)
| | PDF (3011 KB) | HTML

Compared to phased-array, multiple-input multiple- output (MIMO) radars provide more degrees-of-freedom (DOF) that can be exploited for improved spatial resolution, better parametric identifiability, lower sidelobe levels at the transmitter/receiver, and design variety of transmit beampatterns. The design of the transmit beampattern generally requires the waveforms to have arbitrary auto- and cros... View full abstract»

• ### Information and Energy Cooperation in Cognitive Radio Networks

Publication Year: 2014, Page(s):2290 - 2303
Cited by:  Papers (75)
| | PDF (3504 KB) | HTML

Cooperation between the primary and secondary systems can improve the spectrum efficiency in cognitive radio networks. The key idea is that the secondary system helps to boost the primary system's performance by relaying, and, in return, the primary system provides more opportunities for the secondary system to access the spectrum. In contrast to most of existing works that only consider informati... View full abstract»

• ### Joint Space Decomposition-and-Synthesis Approach and Achievable DoF Regions for $K$ -User MIMO Interference Channels

Publication Year: 2014, Page(s):2304 - 2316
Cited by:  Papers (2)
| | PDF (4087 KB) | HTML

The paper proposes a new approach of joint space decomposition-and-synthesis (JSDS) for deriving achievable degree-of-freedom (DoF) region by interference alignment without symbol extension for K-user MIMO interference channel. Solving the interference alignment problem is to find the precoders that align desired signal and interference with disjoint subspaces at receivers. A related property of t... View full abstract»

• ### $L_{1/2}$ Regularization: Convergence of Iterative Half Thresholding Algorithm

Publication Year: 2014, Page(s):2317 - 2329
Cited by:  Papers (25)
| | PDF (2895 KB) | HTML

In recent studies on sparse modeling, the nonconvex regularization approaches (particularly, Lq regularization with q ∈ (0,1)) have been demonstrated to possess capability of gaining much benefit in sparsity-inducing and efficiency. As compared with the convex regularization approaches (say, L1 regularization), however, the convergence issue of the corresponding algori... View full abstract»

• ### “Quasi-Blind” Calibration of an Array of Acoustic Vector-Sensors That Are Subject to Gain Errors/Mis-Location/Mis-Orientation

Publication Year: 2014, Page(s):2330 - 2344
Cited by:  Papers (3)
| | PDF (3888 KB) | HTML

This paper advances a new “quasi-blind” calibration algorithm to calibrate a multi-array network (MAN) of acoustic-vector-sensors, whose component-sensors may have non-ideal gain/phase responses, incorrect orientations, and imprecise locations. This proposed calibration is “quasi-blind” in not requiring any prior knowledge/estimation of any training signal's arrival-ang... View full abstract»

• ### Adaptive Double Subspace Signal Detection in Gaussian Background—Part I: Homogeneous Environments

Publication Year: 2014, Page(s):2345 - 2357
Cited by:  Papers (33)
| | PDF (5049 KB) | HTML

In this two-part paper, we consider the problem of adaptive multidimensional/multichannel signal detection in Gaussian noise with unknown covariance matrix. The test data (primary data) is assumed as a collection of sample vectors, arranged as the columns of a rectangular data array. The rows and columns of the signal matrix are both assumed to lie in known subspaces, but with unknown coordinates.... View full abstract»

• ### Adaptive Double Subspace Signal Detection in Gaussian Background—Part II: Partially Homogeneous Environments

Publication Year: 2014, Page(s):2358 - 2369
Cited by:  Papers (16)
| | PDF (4840 KB) | HTML

In this part of the paper, we continue to study the problem of detecting a double subspace signal in Gaussian noise. Precisely, we address the detection problem in partially homogeneous environments, where the primary and secondary data share the same covariance matrix up to an unknown scaling factor. We derive the generalized likelihood ratio test (GLRT), Rao test, Wald test, and their two-step v... View full abstract»

• ### A Bayesian Framework for Blind Adaptive Beamforming

Publication Year: 2014, Page(s):2370 - 2384
Cited by:  Papers (2)
| | PDF (4220 KB) | HTML

In this work, the problem of blind adaptive beamforming in the presence of steering-vector uncertainty is addressed within a Bayesian estimation framework. We express the single-input multiple-output (SIMO) observation model in the short-time-Fourier-transform (STFT) domain and employ a variational formulation to obtain iterative closed-form learning rules for inferring approximate posteriors on t... View full abstract»

• ### Reconfigurable Adaptive Array Beamforming by Antenna Selection

Publication Year: 2014, Page(s):2385 - 2396
Cited by:  Papers (22)
| | PDF (2545 KB) | HTML

Traditional adaptive array beamforming with a fixed array configuration can lead to significant inefficiencies and performance loss under different scenarios. As antennas become smaller and cheaper relative to front-ends, it becomes important to devise a reconfigurable adaptive antenna array (RAAA) strategy to yield high signal to noise and interference ratio using fewer antennas. This is achieved... View full abstract»

• ### Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization With Real-Time Adjustments: A GNEP Approach

Publication Year: 2014, Page(s):2397 - 2412
Cited by:  Papers (18)
| | PDF (4872 KB) | HTML

The envisioned smart grid aims at improving the interaction between the supply- and the demand-side of the electricity network, creating unprecedented possibilities for optimizing the energy usage at different levels of the grid. In this paper, we propose a distributed demand-side management (DSM) method intended for smart grid users with load prediction capabilities, who possibly employ dispatcha... View full abstract»

• ### Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker

Publication Year: 2014, Page(s):2413 - 2423
Cited by:  Papers (3)
| | PDF (1812 KB) | HTML

The track-oriented multiple hypothesis tracker (TOMHT) is a popular algorithm for tracking multiple targets in a cluttered environment. In tracking parlance it is known as a multi-scan, maximum a posteriori (MAP) estimator-multi-scan because it enumerates possible data associations jointly over several scans, and MAP because it seeks the most likely data association conditioned on the observations... View full abstract»

• ### A Markov Chain Channel Model for Active Transport Molecular Communication

Publication Year: 2014, Page(s):2424 - 2436
Cited by:  Papers (19)
| | PDF (2066 KB) | HTML

In molecular communication, small particles such as molecules are used to convey information. These particles are released by a transmitter into a fluidic environment, where they propagate freely (e.g. through diffusion) or through externals means (e.g. different types of active transport) until they arrive at the receiver. Although there are a number of different mathematical models for the diffu... View full abstract»

• ### Deepest Minimum Criterion for Biased Affine Estimation

Publication Year: 2014, Page(s):2437 - 2449
Cited by:  Papers (4)
| | PDF (5390 KB) | HTML

A new strategy called the Deepest Minimum Criterion (DMC) is presented for optimally obtaining an affine transformation of a given unbiased estimator, when a-priori information on the parameters is known. Here, it is considered that the samples are drawn from a distribution parametrized by an unknown deterministic vector parameter. The a-priori information on the true parameter vector is available... 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
Pier Luigi Dragotti
Imperial College London