By Topic

# IEEE Journal of Selected Topics in Signal Processing

Includes the top 50 most frequently accessed documents for this publication according to the usage statistics for the month of

• ### An Overview of Massive MIMO: Benefits and Challenges

Publication Year: 2014, Page(s):742 - 758
Cited by:  Papers (317)
| | PDF (2077 KB) | HTML

Massive multiple-input multiple-output (MIMO) wireless communications refers to the idea equipping cellular base stations (BSs) with a very large number of antennas, and has been shown to potentially allow for orders of magnitude improvement in spectral and energy efficiency using relatively simple (linear) processing. In this paper, we present a comprehensive overview of state-of-the-art research... View full abstract»

• ### An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

Publication Year: 2016, Page(s):436 - 453
Cited by:  Papers (46)
| | PDF (863 KB) | HTML

Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless communication. The mmWave band offers higher bandwidth communication channels versus those presently used in commercial wireless systems. The applications of mmWave are immense: wireless local and personal area networks in the unlicensed band, 5G cellular systems, not to mention vehicular area networks, ad hoc ... View full abstract»

• ### Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

Publication Year: 2014, Page(s):831 - 846
Cited by:  Papers (198)
| | PDF (3623 KB) | HTML

Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with large antenna arrays at both the transmitter and receiver. Due to the high cost and power consumption of gigasample mixed-signal devices, mmWave precoding will li... View full abstract»

• ### Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems

Publication Year: 2016, Page(s):485 - 500
Cited by:  Papers (12)
| | PDF (924 KB) | HTML

Millimeter wave (mmWave) communications has been regarded as a key enabling technology for 5G networks, as it offers orders of magnitude greater spectrum than current cellular bands. In contrast to conventional multiple-input-multiple-output (MIMO) systems, precoding in mmWave MIMO cannot be performed entirely at baseband using digital precoders, as only a limited number of signal mixers and analo... View full abstract»

• ### MPEG-H 3D Audio—The New Standard for Coding of Immersive Spatial Audio

Publication Year: 2015, Page(s):770 - 779
Cited by:  Papers (9)  |  Patents (5)
| | PDF (845 KB) | HTML

The science and art of Spatial Audio is concerned with the capture, production, transmission, and reproduction of an immersive sound experience. Recently, a new generation of spatial audio technology has been introduced that employs elevated and lowered loudspeakers and thus surpasses previous `surround sound' technology without such speakers in terms of listener immersion and potential for spatia... View full abstract»

• ### Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

Publication Year: 2007, Page(s):586 - 597
Cited by:  Papers (1224)  |  Patents (32)
| | PDF (1109 KB) | HTML

Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or ill-conditioned, linear systems of equations. A standard approach consists in minimizing an objective function which includes a quadratic (squared ) error term combined with a sparseness-inducing regularization term. Basis pursuit, the least absolute shrinkage and selection operato... View full abstract»

• ### Standardized Extensions of High Efficiency Video Coding (HEVC)

Publication Year: 2013, Page(s):1001 - 1016
Cited by:  Papers (115)  |  Patents (4)
| | PDF (1473 KB) | HTML

This paper describes extensions to the High Efficiency Video Coding (HEVC) standard that are active areas of current development in the relevant international standardization committees. While the first version of HEVC is sufficient to cover a wide range of applications, needs for enhancing the standard in several ways have been identified, including work on range extensions for color format and b... View full abstract»

• ### A Real-Time End-to-End Multilingual Speech Recognition Architecture

Publication Year: 2015, Page(s):749 - 759
Cited by:  Papers (2)
| | PDF (2035 KB) | HTML

Automatic speech recognition (ASR) systems are used daily by millions of people worldwide to dictate messages, control devices, initiate searches or to facilitate data input in small devices. The user experience in these scenarios depends on the quality of the speech transcriptions and on the responsiveness of the system. For multilingual users, a further obstacle to natural interaction is the mon... View full abstract»

• ### Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays

Publication Year: 2016, Page(s):501 - 513
Cited by:  Papers (13)
| | PDF (683 KB) | HTML

The potential of using of millimeter wave (mmWave) frequency for future wireless cellular communication systems has motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, the conventional fully digital beamforming methods which require one radio frequency (RF) chain per antenna element is not viable for large-scale antenna arrays due to the high co... View full abstract»

• ### SNR Walls for Signal Detection

Publication Year: 2008, Page(s):4 - 17
Cited by:  Papers (680)  |  Patents (12)
| | PDF (1122 KB) | HTML

This paper considers the detection of the presence/absence of signals in uncertain low SNR environments. Small modeling uncertainties are unavoidable in any practical system and so robustness to them is a fundamental performance metric. The impact of these modeling uncertainties can be quantified by the position of the "SNR wall" below which a detector will fail to be robust, no matter how long it... View full abstract»

• ### Proposal on Millimeter-Wave Channel Modeling for 5G Cellular System

Publication Year: 2016, Page(s):454 - 469
Cited by:  Papers (10)
| | PDF (3851 KB) | HTML

This paper presents 28 GHz wideband propagation channel characteristics for millimeter wave (mmWave) urban cellular communication systems. The mmWave spectrum is considered as a key-enabling feature of 5G cellular communication systems to provide an enormous capacity increment; however, mmWave channel models are lacking today. The paper compares measurements conducted with a spherical scanning 28 ... View full abstract»

• ### Joint Spatial Division and Multiplexing: Opportunistic Beamforming, User Grouping and Simplified Downlink Scheduling

Publication Year: 2014, Page(s):876 - 890
Cited by:  Papers (66)
| | PDF (3917 KB) | HTML

Joint Spatial Division and Multiplexing (JSDM) is a downlink multiuser MIMO scheme recently proposed by the authors in order to enable “massive MIMO” gains and simplified system operations for Frequency Division Duplexing (FDD) systems. The key idea lies in partitioning the users into groups with approximately similar channel covariance eigenvectors and serving these groups by using ... View full abstract»

Publication Year: 2011, Page(s):5 - 23
Cited by:  Papers (492)
| | PDF (740 KB) | HTML

With the rapid deployment of new wireless devices and applications, the last decade has witnessed a growing demand for wireless radio spectrum. However, the fixed spectrum assignment policy becomes a bottleneck for more efficient spectrum utilization, under which a great portion of the licensed spectrum is severely under-utilized. The inefficient usage of the limited spectrum resources urges the s... View full abstract»

• ### Signal Processing With Compressive Measurements

Publication Year: 2010, Page(s):445 - 460
Cited by:  Papers (244)  |  Patents (3)
| | PDF (1136 KB) | HTML

The recently introduced theory of compressive sensing enables the recovery of sparse or compressible signals from a small set of nonadaptive, linear measurements. If properly chosen, the number of measurements can be much smaller than the number of Nyquist-rate samples. Interestingly, it has been shown that random projections are a near-optimal measurement scheme. This has inspired the design of h... View full abstract»

• ### Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding

Publication Year: 2017, Page(s):479 - 491
| | PDF (1328 KB) | HTML

Heterogeneous sensor data fusion is a challenging field that has gathered significant interest in recent years. Two of these challenges are learning from data with missing values, and finding shared representations for multimodal data to improve inference and prediction. In this paper, we propose amultimodal data fusion framework, the deep multimodal encoder (DME), based on deep learning technique... View full abstract»

• ### A Survey of Stochastic Simulation and Optimization Methods in Signal Processing

Publication Year: 2016, Page(s):224 - 241
Cited by:  Papers (9)
| | PDF (3396 KB) | HTML

Modern signal processing (SP) methods rely very heavily on probability and statistics to solve challenging SP problems. SP methods are now expected to deal with ever more complex models, requiring ever more sophisticated computational inference techniques. This has driven the development of statistical SP methods based on stochastic simulation and optimization. Stochastic simulation and optimizati... View full abstract»

• ### Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory

Publication Year: 2014, Page(s):802 - 814
Cited by:  Papers (98)
| | PDF (3442 KB) | HTML

The concept of deploying a large number of antennas at the base station, often called massive multiple-input multiple-output (MIMO), has drawn considerable interest because of its potential ability to revolutionize current wireless communication systems. Most literature on massive MIMO systems assumes time division duplexing (TDD), although frequency division duplexing (FDD) dominates current cell... View full abstract»

• ### Short-Range Leakage Cancelation in FMCW Radar Transceivers Using an Artificial On-Chip Target

Publication Year: 2015, Page(s):1650 - 1660
Cited by:  Papers (3)
| | PDF (2159 KB) | HTML

A major drawback of frequency modulated continuous-wave (FMCW) radar systems is the permanent leakage from the transmit into the receive path. Besides leakage within the radar device itself, signal reflections from a fixed object in front of the antennas additionally introduce so-called short-range (SR) leakage. It causes a strong degradation of detection sensitivity due to the unpreventable phase... View full abstract»

• ### ASVspoof: The Automatic Speaker Verification Spoofing and Countermeasures Challenge

Publication Year: 2017, Page(s):588 - 604
| | PDF (1040 KB) | HTML

Concerns regarding the vulnerability of automatic speaker verification (ASV) technology against spoofing can undermine confidence in its reliability and form a barrier to exploitation. The absence of competitive evaluations and the lack of common datasets has hampered progress in developing effective spoofing countermeasures. This paper describes the ASV Spoofing and Countermeasures (ASVspoof) ini... View full abstract»

• ### An Overview of Low-Rank Matrix Recovery From Incomplete Observations

Publication Year: 2016, Page(s):608 - 622
Cited by:  Papers (3)
| | PDF (408 KB) | HTML

Low-rank matrices play a fundamental role in modeling and computational methods for signal processing and machine learning. In many applications where low-rank matrices arise, these matrices cannot be fully sampled or directly observed, and one encounters the problem of recovering the matrix given only incomplete and indirect observations. This paper provides an overview of modern techniques for e... View full abstract»

• ### From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals

Publication Year: 2010, Page(s):375 - 391
Cited by:  Papers (420)  |  Patents (14)
| | PDF (931 KB) | HTML

Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. In this paper, we consider the challenging problem of blind sub-Nyquist sampling of multiband signals, whose unknown frequency support occupies only a small portion of a wide spectrum. Our primary design goals are efficient hardware implementation and low computational load on the sup... View full abstract»

• ### Distributed State Estimation and Energy Management in Smart Grids: A Consensus${+}$ Innovations Approach

Publication Year: 2014, Page(s):1022 - 1038
Cited by:  Papers (31)
| | PDF (2583 KB) | HTML

This paper reviews signal processing research for applications in the future electric power grid, commonly referred to as smart grid. Generally, it is expected that the grid of the future would differ from the current system by the increased integration of distributed generation, distributed storage, demand response, power electronics, and communications and sensing technologies. The consequence i... View full abstract»

• ### Fully Deep Blind Image Quality Predictor

Publication Year: 2017, Page(s):206 - 220
Cited by:  Papers (1)
| | PDF (1378 KB) | HTML

In general, owing to the benefits obtained from original information, full-reference image quality assessment (FR-IQA) achieves relatively higher prediction accuracy than no-reference image quality assessment (NR-IQA). By fully utilizing reference images, conventional FR-IQA methods have been investigated to produce objective scores that are close to subjective scores. In contrast, NR-IQA does not... View full abstract»

• ### A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Publication Year: 2011, Page(s):606 - 617
Cited by:  Papers (135)
| | PDF (1529 KB) | HTML

Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively impro... View full abstract»

• ### Wireless Power Transfer for Distributed Estimation in Sensor Networks

Publication Year: 2017, Page(s):549 - 562
| | PDF (600 KB) | HTML

This paper studies power allocation for distributed estimation of an unknown scalar random source in sensor networks with a multiple-antenna fusion center (FC), where wireless sensors are equipped with radio-frequency-based energy harvesting technology. The sensors' observation is locally processed by using an uncoded amplify-and-forward scheme. The processed signals are then sent to the FC, and a... View full abstract»

• ### Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning

Publication Year: 2011, Page(s):912 - 926
Cited by:  Papers (202)
| | PDF (1133 KB) | HTML

We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally correlated. Existing algorithms do not consider such temporal correlation and thus their performance degrades significantly with the correlation. In this paper, we propose a block sparse Bayesian learning framework which models t... View full abstract»

• ### Free-Field Localization Performance With a Head-Tracked Virtual Auditory Display

Publication Year: 2015, Page(s):943 - 954
| | PDF (860 KB) | HTML

Virtual auditory displays are systems that use signal processing techniques to manipulate the apparent spatial locations of sounds when they are presented to listeners over headphones. When the virtual audio display is limited to the presentation of stationary sounds at a finite number of source locations, it is possible to produce virtual sounds that are essentially indistinguishable from sounds ... View full abstract»

• ### An Overview on Time/Frequency Modulated Array Processing

Publication Year: 2017, Page(s):228 - 246
| | PDF (1252 KB) | HTML

Time and frequency modulated arrays have numerous application areas including radar, navigation, and communications. Specifically, a time modulated array can create a beampattern with low sidelobes via connecting and disconnecting the antenna elements from the feed network, while the frequency modulated frequency diverse array produces a range-dependent pattern. In this paper, we aim to introduce ... View full abstract»

• ### An Overview of Tiles in HEVC

Publication Year: 2013, Page(s):969 - 977
Cited by:  Papers (35)
| | PDF (1348 KB) | HTML

Tiles is a new feature in the High Efficiency Video Coding (HEVC) standard that divides a picture into independent, rectangular regions. This division provides a number of advantages. Specifically, it increases the “parallel friendliness” of the new standard by enabling improved coding efficiency for parallel architectures, as compared to previous sliced based methods. Additionally, ... View full abstract»

• ### Impact of Score Fusion on Voice Biometrics and Presentation Attack Detection in Cross-Database Evaluations

Publication Year: 2017, Page(s):695 - 705
| | PDF (1940 KB) | HTML

Research in the area of automatic speaker verification (ASV) has been advanced enough for the industry to start using ASV systems in practical applications. However, these systems are highly vulnerable to spoofing or presentation attacks, limiting their wide deployment. Therefore, it is important to develop mechanisms that can detect such attacks, and it is equally important for these mechanisms t... View full abstract»

• ### Front-End for Antispoofing Countermeasures in Speaker Verification: Scattering Spectral Decomposition

Publication Year: 2017, Page(s):632 - 643
| | PDF (1853 KB) | HTML

As speaker verification is widely used as a means of verifying personal identity in commercial applications, the study of antispoofing countermeasures has become increasingly important. By choosing appropriate spectral and prosodic feature mapping, spoofing methods based on voice conversion and speech synthesis are both capable of deceiving speaker verification systems that typically rely on these... View full abstract»

• ### Signal Processing for Music Analysis

Publication Year: 2011, Page(s):1088 - 1110
Cited by:  Papers (64)  |  Patents (1)
| | PDF (5693 KB) | HTML

Music signal processing may appear to be the junior relation of the large and mature field of speech signal processing, not least because many techniques and representations originally developed for speech have been applied to music, often with good results. However, music signals possess specific acoustic and structural characteristics that distinguish them from spoken language or other nonmusica... View full abstract»

• ### Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means

Publication Year: 2014, Page(s):966 - 981
Cited by:  Papers (65)
| | PDF (4288 KB) | HTML

This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC) and zero-forcing (ZF) receivers, assuming perfect and imperfect channel state information (CSI). In contrast to previous relevant works, the fast fading MIMO channel matrix is assumed to have an arbitrary-rank determinis... View full abstract»

• ### Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization

Publication Year: 2017, Page(s):321 - 335
| | PDF (1420 KB) | HTML

Different from conventional phased-array radars, the frequency diverse array (FDA) radar offers a range-dependent beampattern capability that is attractive in various applications. The spatial and range resolutions of an FDA radar are fundamentally limited by the array geometry and the frequency offset. In this paper, we overcome this limitation by introducing a novel sparsity-based multitarget lo... View full abstract»

• ### A Natural-Scene Gradient Distribution Prior and its Application in Light-Microscopy Image Processing

Publication Year: 2016, Page(s):99 - 114
Cited by:  Papers (3)
| | PDF (3920 KB) | HTML

Signal processing in light-microscopy and cell imaging is concerned with reconstructing latent ground truth from imperfect images. This typically requires assuming prior knowledge about the latent ground truth. While this assumption regularizes the problem to an extent where it can be solved, it also biases the result toward the expected. It thus often remains unclear what prior to use for a given... View full abstract»

• ### Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations

Publication Year: 2014, Page(s):916 - 929
Cited by:  Papers (55)
| | PDF (2954 KB) | HTML

Large-scale (or massive) multiple-input multiple-out put (MIMO) is expected to be one of the key technologies in next-generation multi-user cellular systems based on the upcoming 3GPP LTE Release 12 standard, for example. In this work, we propose-to the best of our knowledge-the first VLSI design enabling high-throughput data detection in single-carrier frequency-division multiple access (SC-FDMA)... View full abstract»

• ### Spectral Features for Synthetic Speech Detection

Publication Year: 2017, Page(s):605 - 617
| | PDF (1509 KB) | HTML

Recent advancements in voice conversion (VC) and speech synthesis research make speech-based biometric systems highly prone to spoofing attacks. This can provoke an increase in false acceptance rate in such systems and requires countermeasure to mitigate such spoofing attacks. In this paper, we first study the characteristics of synthetic speech vis-à-vis natural speech and then propose a s... View full abstract»

• ### Spatio-Temporal Waveform Design for Multiuser Massive MIMO Downlink With 1-bit Receivers

Publication Year: 2017, Page(s):347 - 362
| | PDF (1169 KB) | HTML

Internet-of-Things (IoT) refers to a high-density network of low-cost, low-bitrate terminals and sensors where low energy consumption is also one central feature. As the power budget of classical receiver chains is dominated by the high-resolution analog-to-digital converters (ADCs), there is a growing interest toward deploying receiver architectures with reduced bit or even 1-bit ADCs. In this pa... View full abstract»

• ### Blind Pilot Decontamination

Publication Year: 2014, Page(s):773 - 786
Cited by:  Papers (100)
| | PDF (3902 KB) | HTML

A subspace projection to improve channel estimation in massive multi-antenna systems is proposed and analyzed. Together with power-controlled hand-off, it can mitigate the pilot contamination problem without the need for coordination among cells. The proposed method is blind in the sense that it does not require pilot data to find the appropriate subspace. It is based on the theory of large random... View full abstract»

• ### A Quality-of-Experience Index for Streaming Video

Publication Year: 2017, Page(s):154 - 166
| | PDF (1144 KB) | HTML

With the rapid growth of streaming media applications, there has been a strong demand of quality-of-experience (QoE) measurement and QoE-driven video delivery technologies. Most existing methods rely on bitrate and global statistics of stalling events for QoE prediction. This is problematic for two reasons. First, using the same bitrate to encode different video content results in drastically diff... View full abstract»

• ### Psychophysiology-Based QoE Assessment: A Survey

Publication Year: 2017, Page(s):6 - 21
| | PDF (1590 KB) | HTML

We present a survey of psychophysiology-based assessment for quality of experience (QoE) in advanced multimedia technologies. We provide a classification of methods relevant to QoE and describe related psychological processes, experimental design considerations, and signal analysis techniques. We summarize multimodal techniques and discuss several important aspects of psychophysiology-based QoE as... View full abstract»

• ### A Guided Tour of Selected Image Processing and Analysis Methods for Fluorescence and Electron Microscopy

Publication Year: 2016, Page(s):6 - 30
Cited by:  Papers (3)
| | PDF (1524 KB) | HTML

Microscopy imaging, including fluorescence micro scopy and electron microscopy, has taken a prominent role in life science research and medicine due to its ability to investigate the 3D interior of live cells and organisms. A long-term research in bio-imaging at the sub-cellular and cellular scales consists then in inferring the relationships between the dynamics of macromolecules and their functi... View full abstract»

• ### The Random Frequency Diverse Array: A New Antenna Structure for Uncoupled Direction-Range Indication in Active Sensing

Publication Year: 2017, Page(s):295 - 308
Cited by:  Papers (2)
| | PDF (1232 KB) | HTML

In this paper, we propose a new type of array antenna, termed the random frequency diverse array (RFDA), for an uncoupled indication of target direction and range with low system complexity. In RFDA, each array element has a narrow bandwidth and a randomly assigned carrier frequency. The beampattern of the array is shown to be stochastic but thumbtack-like, and its stochastic characteristics, such... View full abstract»

• ### Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks

Publication Year: 2008, Page(s):88 - 102
Cited by:  Papers (511)  |  Patents (1)
| | PDF (564 KB) | HTML

In cognitive radio (CR) networks, there are scenarios where the secondary (lower priority) users intend to communicate with each other by opportunistically utilizing the transmit spectrum originally allocated to the existing primary (higher priority) users. For such a scenario, a secondary user usually has to tradeoff between two conflicting goals at the same time: one is to maximize its own trans... View full abstract»

• ### An Investigation of Deep-Learning Frameworks for Speaker Verification Antispoofing

Publication Year: 2017, Page(s):684 - 694
| | PDF (1303 KB) | HTML

In this study, we explore the use of deep-learning approaches for spoofing detection in speaker verification. Most spoofing detection systems that have achieved recent success employ hand-craft features with specific spoofing prior knowledge, which may limit the feasibility to unseen spoofing attacks. We aim to investigate the genuine-spoofing discriminative ability from the back-end stage, utiliz... View full abstract»

• ### Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

Publication Year: 2016, Page(s):242 - 255
Cited by:  Papers (4)
| | PDF (3437 KB) | HTML

We propose mS2GD: a method incorporating a mini-batching scheme for improving the theoretical complexity and practical performance of semi-stochastic gradient descent (S2GD). We consider the problem of minimizing a strongly convex function represented as the sum of an average of a large number of smooth convex functions, and a simple nonsmooth convex regularizer. Our method first performs a determ... View full abstract»

• ### Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks

Publication Year: 2008, Page(s):28 - 40
Cited by:  Papers (594)  |  Patents (2)
| | PDF (704 KB) | HTML

Cognitive radio technology has been proposed to improve spectrum efficiency by having the cognitive radios act as secondary users to opportunistically access under-utilized frequency bands. Spectrum sensing, as a key enabling functionality in cognitive radio networks, needs to reliably detect signals from licensed primary radios to avoid harmful interference. However, due to the effects of channel... View full abstract»

• ### Secrecy and Energy Efficiency in Massive MIMO Aided Heterogeneous C-RAN: A New Look at Interference

Publication Year: 2016, Page(s):1375 - 1389
Cited by:  Papers (1)
| | PDF (1450 KB) | HTML

In this paper, we investigate the potential benefits of the massive multiple-input multiple-output (MIMO) enabled heterogeneous cloud radio access network (C-RAN) in terms of the secrecy and energy efficiency (EE). In this network, both remote radio heads (RRHs) and massive MIMO macrocell base stations are deployed and soft fractional frequency reuse is adopted to mitigate the intertier interferen... View full abstract»

• ### Linear Precoding Based on Polynomial Expansion: Large-Scale Multi-Cell MIMO Systems

Publication Year: 2014, Page(s):861 - 875
Cited by:  Papers (33)
| | PDF (3653 KB) | HTML

Large-scale MIMO systems can yield a substantial improvements in spectral efficiency for future communication systems. Due to the finer spatial resolution and array gain achieved by a massive number of antennas at the base station, these systems have shown to be robust to inter-user interference and the use of linear precoding appears to be asymptotically optimal. However, from a practical point o... View full abstract»

• ### Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking

Publication Year: 2017, Page(s):492 - 503
| | PDF (1169 KB) | HTML

We propose a distributed recursive Gaussian process (drGP) regression framework for building received-signal-strength (RSS) map. The proposed framework adopts independent mobile devices in prescribed local areas to construct local RSS maps through recursive computation of the posterior distribution of the RSS on a fixed set of grids as training data gradually become available. The training input p... View full abstract»

## Aims & Scope

The Journal of Selected Topics in Signal Processing (J-STSP) solicits special issues on topics that cover the entire scope of the IEEE Signal Processing Society including the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals by digital or analog devices or techniques.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief

Shrikanth (Shri) S. Narayanan
Viterbi School of Engineering
University of Southern California
Los Angeles, CA 90089 USA
shri@sipi.usc.edu