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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 (366 KB)
• ### IEEE Transactions on Signal Processing publication information

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

Publication Year: 2014, Page(s):1331 - 1332
| PDF (212 KB)

Publication Year: 2014, Page(s):1333 - 1334
| PDF (214 KB)
• ### Robust MIMO Equalization for Non-Parametric Channel Model Uncertainty

Publication Year: 2014, Page(s):1335 - 1347
Cited by:  Papers (4)
| | PDF (4734 KB) | HTML

In this paper, three MIMO robust equalization problems are considered for non-parametric classes of channel models defined by weighted H2 or H∞ balls (of frequency-responses) and performance criteria based on H2 (variance) or H∞ norms of error signals. The approach pursued here centers on characterizing the worst-case performance of candidate equalizers, or upper bounds on it, by mea... View full abstract»

• ### Asymptotic and Non-Asymptotic Analysis of Uplink Sum Rate for Relay-Assisted MIMO Cellular Systems

Publication Year: 2014, Page(s):1348 - 1360
Cited by:  Papers (8)
| | PDF (4185 KB) | HTML

We consider uplink relay-assisted MIMO cellular systems with multiple relays deployed in each cell that perform the amplify-and-forward operations. We are interested in obtaining deterministic expressions for the ergodic sum rate of such systems. We first consider the large MIMO dimension scenario, and obtain two asymptotic sum rate expressions, corresponding to the cases of fixed number of users ... View full abstract»

• ### On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Publication Year: 2014, Page(s):1361 - 1376
Cited by:  Papers (10)
| | PDF (3721 KB) | HTML

In this work, we investigate the relationship between continuous-time autoregressive (AR) models and their sampled version. We consider uniform sampling and derive criteria for uniquely determining the continuous-time parameters from sampled data; the model order is assumed to be known. We achieve this by removing a set of measure zero from the collection of all AR models and by investigating the ... View full abstract»

• ### Single Receiver Emitter Geolocation Based on Signal Periodicity With Oscillator Instability

Publication Year: 2014, Page(s):1377 - 1385
Cited by:  Papers (11)
| | PDF (2294 KB) | HTML

We propose a method for localizing a stationary emitter, not necessarily cooperative, using a single moving receiver based on time of arrival (TOA) measurements. The sensor intercepts the incoming signal at different locations along its trajectory, thus, effectively creating an array of spatially separated sensors. This manuscript presents the method and its performance in the presence of noise an... View full abstract»

• ### Distributed Sparse Recursive Least-Squares Over Networks

Publication Year: 2014, Page(s):1386 - 1395
Cited by:  Papers (35)
| | PDF (3057 KB) | HTML

Distributed estimation over networks has received much attention in recent years due to its broad applicability. Many signals in nature present high level of sparsity, which contain only a few large coefficients among many negligible ones. In this paper, we address the problem of in-network distributed estimation for sparse vectors, and develop several distributed sparse recursive least-squares (R... View full abstract»

• ### Detection of Spatially Correlated Time Series From a Network of Sensor Arrays

Publication Year: 2014, Page(s):1396 - 1407
Cited by:  Papers (12)
| | PDF (3220 KB) | HTML

This paper addresses the problem of testing for the independence among multiple ( ≥ 2) random vectors. The generalized likelihood ratio test tests the null hypothesis that the composite covariance matrix of the channels is block-diagonal, using a generalized Hadamard ratio. Using the theory of Gram determinants, we show that this Hadamard ratio is stochastically equivalent to a product of s... View full abstract»

• ### Feasibility Conditions for Interference Neutralization in Relay-Aided Interference Channel

Publication Year: 2014, Page(s):1408 - 1423
Cited by:  Papers (5)
| | PDF (4609 KB) | HTML

Interference neutralization (IN) is a new interference management mechanism found from and inherent in interference networks with relays. In this paper, we study the feasibility of IN for relay-aided multi-input-multi-output (MIMO) interference broadcast channel (MIMO-IBC) without symbol extension. Assuming linear transceiver with multiple amplify-and-forward relays, we consider fully connected sy... View full abstract»

• ### Distributed Maximum Likelihood Sensor Network Localization

Publication Year: 2014, Page(s):1424 - 1437
Cited by:  Papers (46)
| | PDF (3393 KB) | HTML

We propose a class of convex relaxations to solve the sensor network localization problem, based on a maximum likelihood (ML) formulation. This class, as well as the tightness of the relaxations, depends on the noise probability density function (PDF) of the collected measurements. We derive a computational efficient edge-based version of this ML convex relaxation class and we design a distributed... View full abstract»

• ### An Algebraic Translation of Cayley-Dickson Linear Systems and Its Applications to Online Learning

Publication Year: 2014, Page(s):1438 - 1453
Cited by:  Papers (4)
| | PDF (6510 KB) | HTML

The m-dimensional Cayley-Dickson number system Am is a standard extension of real (m=1), complex (m=2), quaternion (m=22), octonion (m=23) and sedenion (m=24) etc. In this paper, we present a systematic algebraic translation of the Cayley-Dickson hypercomplex valued linear systems into a real vector valued linear model. This translation is designed by us... View full abstract»

• ### Stochastic MIMO Detector Based on the Markov Chain Monte Carlo Algorithm

Publication Year: 2014, Page(s):1454 - 1463
Cited by:  Papers (12)
| | PDF (1873 KB) | HTML

A stochastic computing framework for a Markov Chain Monte Carlo (MCMC) multiple-input-multiple-output (MIMO) detector is proposed, in which the arithmetic operations are implemented by simple logic structures. Specifically, we introduce two new techniques, namely a sliding window generator (SWG) and a log-likelihood ratio based updating method (LUM), to achieve an efficient design. The SWG utilize... View full abstract»

• ### $l_{q}$ Sparsity Penalized Linear Regression With Cyclic Descent

Publication Year: 2014, Page(s):1464 - 1475
Cited by:  Papers (15)
| | PDF (4134 KB) | HTML

Recently, there has been a lot of focus on penalized least squares problems for noisy sparse signal estimation. The penalty induces sparsity and a very common choice has been the convex l1 norm. However, to improve sparsity and reduce the biases associated with the l1 norm, one must move to non-convex penalties such as the lq norm . In this paper we present a novel... View full abstract»

• ### Optimal Cooperative Beamforming Design for MIMO Decode-and-Forward Relay Channels

Publication Year: 2014, Page(s):1476 - 1489
Cited by:  Papers (16)
| | PDF (3466 KB) | HTML

In this paper, we consider a transmit beamforming design for multiple-input-multiple-output (MIMO) decode-and-forward (DF) half-duplex two-hop relay channels with a direct source-destination link. For the scenario where source and relay nodes are equipped with multiple antennas and the destination node is deployed with single antenna, we formulate and solve the optimal beamforming vectors for sour... View full abstract»

• ### Efficient Transmit Beamspace Design for Search-Free Based DOA Estimation in MIMO Radar

Publication Year: 2014, Page(s):1490 - 1500
Cited by:  Papers (36)
| | PDF (2491 KB) | HTML Media

In this paper, we address the problem of transmit beamspace design for multiple-input multiple-output (MIMO) radar with colocated antennas in application to direction-of-arrival (DOA) estimation. A new method for designing the transmit beamspace matrix that enables the use of search-free DOA estimation techniques at the receiver is introduced. The essence of the proposed method is to design the tr... View full abstract»

• ### Sum-Rate Maximization in the Multicell MIMO Broadcast Channel With Interference Coordination

Publication Year: 2014, Page(s):1501 - 1513
Cited by:  Papers (9)
| | PDF (2403 KB) | HTML

This paper studies the precoding designs to maximize the weighted sum-rate (WSR) in a multicell multiple-input multiple-output (MIMO) broadcast channel (BC). We consider a multicell network under universal frequency reuse with multiple mobile stations (MS) per cell. With interference coordination (IC) between the multiple cells, the base-station (BS) at each cell only transmits information signals... View full abstract»

• ### Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes

Publication Year: 2014, Page(s):1514 - 1524
Cited by:  Papers (2)
| | PDF (1771 KB) | HTML

In this paper, we describe a novel application of sigma-point methods to continuous-discrete filtering. The nonlinear continuous-discrete filtering problem is often computationally intractable to solve. Assumed density filtering methods attempt to match statistics of the filtering distribution to some set of more tractable probability distributions. Filters such as these are usually decompose the ... View full abstract»

• ### Estimation for the Linear Model With Uncertain Covariance Matrices

Publication Year: 2014, Page(s):1525 - 1535
Cited by:  Papers (1)
| | PDF (3553 KB) | HTML

We derive a maximum a posteriori estimator for the linear observation model, where the signal and noise covariance matrices are both uncertain. The uncertainties are treated probabilistically by modeling the covariance matrices with prior inverse-Wishart distributions. The nonconvex problem of jointly estimating the signal of interest and the covariance matrices is tackled by a computationally eff... View full abstract»

• ### On Kronecker and Linearly Structured Covariance Matrix Estimation

Publication Year: 2014, Page(s):1536 - 1547
Cited by:  Papers (5)
| | PDF (2888 KB) | HTML

The estimation of covariance matrices is an integral part of numerous signal processing applications. In many scenarios, there exists prior knowledge on the structure of the true covariance matrix; e.g., it might be known that the matrix is Toeplitz in addition to Hermitian. Given the available data and such prior structural knowledge, estimates using the known structure can be expected to be more... View full abstract»

• ### Real-Valued MUSIC for Efficient Direction Estimation With Arbitrary Array Geometries

Publication Year: 2014, Page(s):1548 - 1560
Cited by:  Papers (18)
| | PDF (3807 KB) | HTML

Most of the existing methods for direction-of-arrival (DOA) estimation are based on numerical characteristics behind the entire array output covariance matrix (AOCM). Since the AOCM is generally a complex matrix, those approaches require tremendous complex computations accordingly. This paper addresses the problem of DOA estimation with real-valued computations by considering the real part of AOCM... View full abstract»

• ### Spatial-Frequency Signal Alignment for Opportunistic Transmission

Publication Year: 2014, Page(s):1561 - 1575
Cited by:  Papers (6)
| | PDF (3001 KB) | HTML

In this paper, we investigate opportunistic transmission based on signal alignment for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) cognitive radio (CR) systems, where both primary and secondary users have multiple antennas. In the studied scenario, primary users are transmitting based on OFDM and secondary users generate interference-free transmission to... View full abstract»

• ### A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments

Publication Year: 2014, Page(s):1576 - 1589
Cited by:  Papers (29)
| | PDF (3295 KB) | HTML

We propose a novel receiver for orthogonal frequency division multiplexing (OFDM) transmissions in impulsive noise environments. Impulsive noise arises in many modern wireless and wireline communication systems, such as Wi-Fi and powerline communications, due to uncoordinated interference that is much stronger than thermal noise. We first show that the bit-error-rate optimal receiver jointly estim... View full abstract»

• ### New Efficient 2-D Lattice Structures for General Autoregressive Modeling of Random Fields

Publication Year: 2014, Page(s):1590 - 1602
Cited by:  Papers (3)
| | PDF (3959 KB) | HTML Media

In this paper, we present a new efficient general 2-D autoregressive (AR) lattice modeling technique of random fields. Our proposed approach is capable of simultaneously providing all possible types of 2-D causal quarter-plane (QP) and asymmetric half-plane (ASHP) AR models for an arbitrary rectangular shape of the prediction support region (PSR). It is shown that it is also possible to obtain var... 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