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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):1615 - 1616
| PDF (210 KB)

Publication Year: 2014, Page(s):1617 - 1618
| PDF (212 KB)
• ### Two-Way Range Estimation Utilizing Uplink and Downlink Channels Dependency

Publication Year: 2014, Page(s):1619 - 1633
Cited by:  Papers (3)
| | PDF (3438 KB) | HTML

Range estimation between a base station (BS) and target that are unsynchronized in time is obtained by two-way ranging where both sides are transmitting and receiving. In the conventional two-way range estimation approach, the time of arrivals at BS and target are estimated separately and thus correlation between the uplink and downlink channels is ignored. In this paper, we develop a maximum like... View full abstract»

• ### Dependence of the Stability of the Least Mean Fourth Algorithm on Target Weights Non-Stationarity

Publication Year: 2014, Page(s):1634 - 1643
Cited by:  Papers (12)
| | PDF (2054 KB) | HTML

The paper investigates a new stability problem of the least mean fourth (LMF) algorithm, which is the dependence of the algorithm stability on the time-variation of the target weights of the adaptive filter. The analysis is done in the context of tracking a Markov plant with a stationary white Gaussian input. It is found that the algorithm diverges if the mean square increment of the plant paramet... View full abstract»

• ### On ${l}_{q}$ Optimization and Sparse Inverse Covariance Selection

Publication Year: 2014, Page(s):1644 - 1654
Cited by:  Papers (6)
| | PDF (2942 KB) | HTML

Graphical models are well established in providing meaningful conditional probability descriptions of complex multivariable interactions. In the Gaussian case, the conditional independencies between different variables correspond to zero entries in the precision (inverse covariance) matrix. Hence, there has been much recent interest in sparse precision matrix estimation in areas such as statistics... View full abstract»

• ### Modal Analysis With Compressive Measurements

Publication Year: 2014, Page(s):1655 - 1670
Cited by:  Papers (12)
| | PDF (3605 KB) | HTML

Structural Health Monitoring (SHM) systems are critical for monitoring aging infrastructure (such as buildings or bridges) in a cost-effective manner. Such systems typically involve collections of battery-operated wireless sensors that sample vibration data over time. After the data is transmitted to a central node, modal analysis can be used to detect damage in the structure. In this paper, we pr... View full abstract»

• ### Decomposition Approach for Low-Rank Matrix Completion and Its Applications

Publication Year: 2014, Page(s):1671 - 1683
Cited by:  Papers (16)
| | PDF (6690 KB) | HTML

In this paper, we describe a low-rank matrix completion method based on matrix decomposition. An incomplete matrix is decomposed into sub-matrices which are filled with a proposed trimming step and then are recombined to form a low-rank completed matrix. The divide-and-conquer approach can significantly reduce computation complexity and storage requirement. Moreover, the proposed decomposition met... View full abstract»

• ### Hierarchical Radio Resource Optimization for Heterogeneous Networks With Enhanced Inter-Cell Interference Coordination (eICIC)

Publication Year: 2014, Page(s):1684 - 1693
Cited by:  Papers (22)
| | PDF (3178 KB) | HTML

Interference is a major performance bottleneck in Heterogeneous Network (HetNet) due to its multi-tier structure. We propose almost blank resource block (ABRB) for interference control in HetNet. When an ABRB is scheduled in a macro BS, a resource block (RB) with blank payload is transmitted and this eliminates the interference from this macro BS to the pico BSs. We study a two timescale hierarchi... View full abstract»

• ### Greedy Algorithms for Joint Sparse Recovery

Publication Year: 2014, Page(s):1694 - 1704
Cited by:  Papers (36)
| | PDF (2546 KB) | HTML Media

Five known greedy algorithms designed for the single measurement vector setting in compressed sensing and sparse approximation are extended to the multiple measurement vector scenario: Iterative Hard Thresholding (IHT), Normalized IHT (NIHT), Hard Thresholding Pursuit (HTP), Normalized HTP (NHTP), and Compressive Sampling Matching Pursuit (CoSaMP). Using the asymmetric restricted isometry property... View full abstract»

• ### A Committee Machine Approach for Compressed Sensing Signal Reconstruction

Publication Year: 2014, Page(s):1705 - 1717
Cited by:  Papers (9)
| | PDF (3143 KB) | HTML Media

Although many sparse recovery algorithms have been proposed recently in compressed sensing (CS), it is well known that the performance of any sparse recovery algorithm depends on many parameters like dimension of the sparse signal, level of sparsity, and measurement noise power. It has been observed that a satisfactory performance of the sparse recovery algorithms requires a minimum number of meas... View full abstract»

• ### Single-Site Localization via Maximum Discrimination Multipath Fingerprinting

Publication Year: 2014, Page(s):1718 - 1728
Cited by:  Papers (10)
| | PDF (2924 KB) | HTML

A novel approach to single-site localization based on maximum discrimination multipath fingerprinting is presented. In contrast to the existing approach, which extracts each fingerprint only from the data of that location, the new approach uses also the data of all the other locations in the database, and leverages it to extract a fingerprint that is as different as possible from the other fingerp... View full abstract»

• ### Design of IIR Digital Differentiators Using Constrained Optimization

Publication Year: 2014, Page(s):1729 - 1739
Cited by:  Papers (9)
| | PDF (2168 KB) | HTML

A new optimization method for the design of fullband and lowpass IIR digital differentiators is proposed. In the new method, the passband phase-response error is minimized under the constraint that the maximum passband amplitude-response relative error is below a prescribed level. For lowpass IIR differentiators, an additional constraint is introduced to limit the average squared amplitude respons... View full abstract»

• ### Deterministic Blind Identification of IIR Systems With Output-Switching Operations

Publication Year: 2014, Page(s):1740 - 1749
Cited by:  Papers (2)
| | PDF (2658 KB) | HTML

In this paper, a deterministic blind identification approach is proposed for linear output-switching systems, which are modeled by multiple infinite impulse-response (IIR) dynamic functions. By adopting a new over-sampling strategy, the concerned single-input-single-output (SISO) output-switching system is equivalently transformed into a time-invariant multi- input-multi-output (MIMO) system. Furt... View full abstract»

• ### On the Linear Convergence of the ADMM in Decentralized Consensus Optimization

Publication Year: 2014, Page(s):1750 - 1761
Cited by:  Papers (96)
| | PDF (3235 KB) | HTML

In decentralized consensus optimization, a connected network of agents collaboratively minimize the sum of their local objective functions over a common decision variable, where their information exchange is restricted between the neighbors. To this end, one can first obtain a problem reformulation and then apply the alternating direction method of multipliers (ADMM). The method applies iterative ... View full abstract»

• ### Smoothing and Decomposition for Analysis Sparse Recovery

Publication Year: 2014, Page(s):1762 - 1774
Cited by:  Papers (17)
| | PDF (5072 KB) | HTML

We consider algorithms and recovery guarantees for the analysis sparse model in which the signal is sparse with respect to a highly coherent frame. We consider the use of a monotone version of the fast iterative shrinkage-thresholding algorithm (MFISTA) to solve the analysis sparse recovery problem. Since the proximal operator in MFISTA does not have a closed-form solution for the analysis model, ... View full abstract»

• ### Decentralized Data Reduction With Quantization Constraints

Publication Year: 2014, Page(s):1775 - 1784
Cited by:  Papers (2)
| | PDF (2321 KB) | HTML

A guiding principle for data reduction in statistical inference is the sufficiency principle. This paper extends the classical sufficiency principle to decentralized inference, i.e., data reduction needs to be achieved in a decentralized manner. We examine the notions of local and global sufficient statistics and the relationship between the two for decentralized inference under different observat... View full abstract»

• ### Performance Analysis and Optimization for Interference Alignment Over MIMO Interference Channels With Limited Feedback

Publication Year: 2014, Page(s):1785 - 1795
Cited by:  Papers (32)
| | PDF (2925 KB) | HTML

In this paper, we address the problem of interference alignment (IA) over MIMO interference channels with limited channel state information (CSI) feedback based on quantization codebooks. Due to limited feedback and, hence, imperfect IA, there are residual interferences across different links and different data streams. As a result, the performance of IA is greatly related to the CSI accuracy (nam... View full abstract»

• ### Sub-Nyquist Radar via Doppler Focusing

Publication Year: 2014, Page(s):1796 - 1811
Cited by:  Papers (51)
| | PDF (3032 KB) | HTML

We investigate the problem of a monostatic pulse-Doppler radar transceiver trying to detect targets sparsely populated in the radar's unambiguous time-frequency region. Several past works employ compressed sensing (CS) algorithms to this type of problem but either do not address sample rate reduction, impose constraints on the radar transmitter, propose CS recovery methods with prohibitive diction... View full abstract»

• ### On the Pilot Carrier Placement in Multicarrier-Based Systems

Publication Year: 2014, Page(s):1812 - 1821
Cited by:  Papers (1)
| | PDF (1743 KB) | HTML

In traditional multicarrier systems, the pilot carriers used to estimate the channel are placed as uniform as possible over the bandwidth. However, with the raise of cognitive radio systems, where the multicarrier system is used by the secondary users, parts of the bandwidth are not available for transmission as primary users are active in these bands. Therefore, the multicarrier system must intro... View full abstract»

• ### Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images

Publication Year: 2014, Page(s):1822 - 1833
Cited by:  Papers (20)
| | PDF (2814 KB) | HTML

In this work, we propose algorithms to perform Blind Source Separation (BSS) for the linear-quadratic mixing model. The linear-quadratic model is less studied in the literature than the linear one. In this paper, we propose original methods that are based on Non-negative Matrix Factorization (NMF). This class of methods is well suited to many applications where the data are non-negative. We are he... View full abstract»

• ### Robust Beamforming by Linear Programming

Publication Year: 2014, Page(s):1834 - 1849
Cited by:  Papers (16)  |  Patents (1)
| | PDF (3639 KB) | HTML

In this paper, a robust linear programming beamformer (RLPB) is proposed for non-Gaussian signals in the presence of steering vector uncertainties. Unlike most of the existing beamforming techniques based on the minimum variance criterion, the proposed RLPB minimizes the ℓ∞-norm of the output to exploit the non-Gaussianity. We make use of a new definition of the ℓ View full abstract»

• ### Secrecy Wireless Information and Power Transfer With MISO Beamforming

Publication Year: 2014, Page(s):1850 - 1863
Cited by:  Papers (165)
| | PDF (3870 KB) | HTML

The dual use of radio signal for simultaneous wireless information and power transfer (SWIPT) has recently drawn significant attention. To meet the practical requirement that the energy receiver (ER) operates with significantly higher received power as compared to the conventional information receiver (IR), ERs need to be deployed in more proximity to the transmitter than IRs in the SWIPT system. ... View full abstract»

• ### Bayesian Tracking in Underwater Wireless Sensor Networks With Port-Starboard Ambiguity

Publication Year: 2014, Page(s):1864 - 1878
Cited by:  Papers (25)
| | PDF (3555 KB) | HTML

Port-starboard ambiguity is an important issue in underwater tracking systems with anti-submarine warfare applications, especially for wireless sensor networks based upon autonomous underwater vehicles. In monostatic systems this ambiguity leads to a ghost track of the target symmetrically displaced with respect to the sensor. Removal of such artifacts is usually made by rough and heuristic approa... 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