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IEEE Journal of Selected Topics in Signal Processing, Volume 12
Volume 12, Number 1, February 2018
- Silvija Kokalj-Filipovic, Maria S. Greco, H. Vincent Poor
, George Stantchev, L. Xiao:
Introduction to the Issue on Machine Learning for Cognition in Radio Communications and Radar. 3-5 - Anestis Tsakmalis
, Symeon Chatzinotas
, Björn E. Ottersten
:
Constrained Bayesian Active Learning of Interference Channels in Cognitive Radio Networks. 6-19 - Vishnu Raj
, Irene Dias
, Thulasi Tholeti
, Sheetal Kalyani
:
Spectrum Access In Cognitive Radio Using a Two-Stage Reinforcement Learning Approach. 20-34 - Lampros Flokas
, Petros Maragos:
Online Wideband Spectrum Sensing Using Sparsity. 35-44 - Le Zheng
, Marco Lops
, Xiaodong Wang
:
Adaptive Interference Removal for Uncoordinated Radar/Communication Coexistence. 45-60 - Hua Lan
, Yan Liang, Zengfu Wang
, Feng Yang, Quan Pan:
Distributed ECM Algorithm for OTHR Multipath Target Tracking With Unknown Ionospheric Heights. 61-75 - Ronghua Gui, Wen-Qin Wang
, Ye Pan, Jian Xu:
Cognitive Target Tracking via Angle-Range-Doppler Estimation With Transmit Subaperturing FDA Radar. 76-89 - Bariscan Yonel
, Eric Mason
, Birsen Yazici
:
Deep Learning for Passive Synthetic Aperture Radar. 90-103 - Nerea del-Rey-Maestre, María-Pilar Jarabo-Amores
, David de la Mata-Moya, Jose-Luis Barcena-Humanes, Pedro Gomez-del-Hoyo
:
Machine Learning Techniques for Coherent CFAR Detection Based on Statistical Modeling of UHF Passive Ground Clutter. 104-118 - Eliya Nachmani
, Elad Marciano
, Loren Lugosch, Warren J. Gross, David Burshtein
, Yair Be'ery
:
Deep Learning Methods for Improved Decoding of Linear Codes. 119-131 - Sebastian Dörner
, Sebastian Cammerer
, Jakob Hoydis, Stephan ten Brink:
Deep Learning Based Communication Over the Air. 132-143 - Fei Liang
, Cong Shen
, Feng Wu:
An Iterative BP-CNN Architecture for Channel Decoding. 144-159 - Kevin Merchant
, Shauna Revay
, George Stantchev, Bryan Nousain
:
Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks. 160-167 - Timothy J. O'Shea
, Tamoghna Roy
, T. Charles Clancy
:
Over-the-Air Deep Learning Based Radio Signal Classification. 168-179 - Alireza Sadeghi
, Fatemeh Sheikholeslami
, Georgios B. Giannakis
:
Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities. 180-190 - Anne M. Pavy
, Brian D. Rigling
:
SV-Means: A Fast SVM-Based Level Set Estimator for Phase-Modulated Radar Waveform Classification. 191-201 - Amrit S. Bedi
, Paban Sarma, Ketan Rajawat
:
Tracking Moving Agents via Inexact Online Gradient Descent Algorithm. 202-217 - Cong Shen
, Ruida Zhou, Cem Tekin
, Mihaela van der Schaar
:
Generalized Global Bandit and Its Application in Cellular Coverage Optimization. 218-232 - Mihir Laghate
, Danijela Cabric
:
Learning Wireless Networks' Topologies Using Asymmetric Granger Causality. 233-247
Volume 12, Number 2, May 2018
- Christos Masouros
, Mathini Sellathurai
, Constantinos B. Papadias
, Linglong Dai
, Wei Yu, Theodore Sizer:
Introduction to the Issue on Hybrid Analog-Digital Signal Processing for Hardware-Efficient Large-Scale Antenna Arrays (Part I). 253-255 - Zihuan Wang, Ming Li
, Qian Liu
, A. Lee Swindlehurst
:
Hybrid Precoder and Combiner Design With Low-Resolution Phase Shifters in mmWave MIMO Systems. 256-269 - Miguel Ángel Vázquez
, Luis Blanco, Ana I. Pérez-Neira
:
Spectrum Sharing Backhaul Satellite-Terrestrial Systems via Analog Beamforming. 270-281 - Xianghao Yu
, Jun Zhang
, Khaled Ben Letaief:
A Hardware-Efficient Analog Network Structure for Hybrid Precoding in Millimeter Wave Systems. 282-297 - Lucas N. Ribeiro
, Stefan Schwarz
, Markus Rupp
, André Lima Férrer de Almeida:
Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs. 298-312 - Rongbin Guo
, Yunlong Cai
, Minjian Zhao, Qingjiang Shi
, Benoît Champagne
, Lajos Hanzo
:
Joint Design of Beam Selection and Precoding Matrices for mmWave MU-MIMO Systems Relying on Lens Antenna Arrays. 313-325 - Hsiao-Lan Chiang
, Wolfgang Rave
, Tobias Kadur
, Gerhard P. Fettweis
:
Hybrid Beamforming Based on Implicit Channel State Information for Millimeter Wave Links. 326-339 - Yin Long
, Zhi Chen, Jun Fang, Chintha Tellambura
:
Data-Driven-Based Analog Beam Selection for Hybrid Beamforming Under mm-Wave Channels. 340-352 - Jose P. Gonzalez-Coma
, Javier Rodríguez-Fernández
, Nuria González Prelcic
, Luis Castedo
, Robert W. Heath Jr.
:
Channel Estimation and Hybrid Precoding for Frequency Selective Multiuser mmWave MIMO Systems. 353-367 - Sirani M. Perera
, Viduneth Ariyarathna
, Nilan Udayanga, Arjuna Madanayake
, Ge Wu, Leonid Belostotski
, Yingying Wang
, Soumyajit Mandal
, Renato J. Cintra
, Theodore S. Rappaport
:
Wideband N-Beam Arrays Using Low-Complexity Algorithms and Mixed-Signal Integrated Circuits. 368-382 - Miguel R. Castellanos
, Vasanthan Raghavan
, Jung H. Ryu, Ozge H. Koymen, Junyi Li, David J. Love
, Borja Peleato
:
Channel-Reconstruction-Based Hybrid Precoding for Millimeter-Wave Multi-User MIMO Systems. 383-398 - Yuanquan Hong
, Xiaojun Jing, Hui Gao
:
Programmable Weight Phased-Array Transmission for Secure Millimeter-Wave Wireless Communications. 399-413
Volume 12, Number 3, June 2018
- Christos Masouros
, Mathini Sellathurai
, Constantinos B. Papadias
, Linglong Dai
, Wei Yu
, Theodore Sizer:
Introduction to the Issue on Hybrid Analog-Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays (Part II). 419-421 - Xiwen Jiang
, Florian Kaltenberger
:
Channel Reciprocity Calibration in TDD Hybrid Beamforming Massive MIMO Systems. 422-431 - An Liu
, Vincent K. N. Lau, Min-Jian Zhao:
Stochastic Successive Convex Optimization for Two-Timescale Hybrid Precoding in Massive MIMO. 432-444 - Mahmoud Abdelaziz
, Lauri Anttila
, Alberto Brihuega
, Fredrik Tufvesson
, Mikko Valkama
:
Digital Predistortion for Hybrid MIMO Transmitters. 445-454 - Qingjiang Shi
, Mingyi Hong
:
Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems. 455-468 - Hengtao He
, Chao-Kai Wen
, Shi Jin
:
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs. 469-483 - Kilian Roth
, Hessam Pirzadeh
, A. Lee Swindlehurst
, Josef A. Nossek
:
A Comparison of Hybrid Beamforming and Digital Beamforming With Low-Resolution ADCs for Multiple Users and Imperfect CSI. 484-498 - Yacong Ding
, Sung-En Chiu, Bhaskar D. Rao:
Bayesian Channel Estimation Algorithms for Massive MIMO Systems With Hybrid Analog-Digital Processing and Low-Resolution ADCs. 499-513 - Yu Han
, Shi Jin
, Jun Zhang
, Jiayi Zhang
, Kai-Kit Wong:
DFT-Based Hybrid Beamforming Multiuser Systems: Rate Analysis and Beam Selection. 514-528 - José Luis Gómez-Tornero, David Cañete-Rebenaque
, Jose Antonio Lopez-Pastor
, Alejandro S. Martínez-Sala
:
Hybrid Analog-Digital Processing System for Amplitude-Monopulse RSSI-Based MiMo WiFi Direction-of-Arrival Estimation. 529-540 - Cheng Zhang
, Yindi Jing
, Yongming Huang
, Luxi Yang:
Interleaved Training and Training-Based Transmission Design for Hybrid Massive Antenna Downlink. 541-556 - Foad Sohrabi
, Ya-Feng Liu
, Wei Yu
:
One-Bit Precoding and Constellation Range Design for Massive MIMO With QAM Signaling. 557-570
Volume 12, Number 4, August 2018
- Deepa Kundur
, Javier Contreras, Dipti Srinivasan, Nikolaos Gatsis, Meng Wang, Srinivas Peeta:
Introduction to the Issue on Signal and Information Processing for Critical Infrastructures. 575-577 - Junbo Zhao
, Lamine Mili
:
A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation. 578-592 - Saurabh Sihag
, Ali Tajer
:
Power System State Estimation Under Model Uncertainty. 593-606 - Neelabh Kashyap
, Stefan Werner
, Yih-Fang Huang:
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication. 607-616 - Shuai Zhang, Yingshuai Hao
, Meng Wang
, Joe H. Chow
:
Multichannel Hankel Matrix Completion Through Nonconvex Optimization. 617-632 - Keisuke Maeda
, Sho Takahashi, Takahiro Ogawa
, Miki Haseyama
:
Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features. 633-644 - Roohallah Khatami
, Majid Heidarifar
, Masood Parvania
, Pramod P. Khargonekar
:
Scheduling and Pricing of Load Flexibility in Power Systems. 645-656 - Xuanyu Cao
, Junshan Zhang, H. Vincent Poor
:
Joint Energy Procurement and Demand Response Towards Optimal Deployment of Renewables. 657-672 - Kaiqing Zhang
, Wei Shi, Hao Zhu
, Emiliano Dall'Anese
, Tamer Basar
:
Dynamic Power Distribution System Management With a Locally Connected Communication Network. 673-687 - Hyun-Suk Lee
, Cem Tekin
, Mihaela van der Schaar
, Jang-Won Lee
:
Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources. 688-702 - Xuanyu Cao
, Junshan Zhang, H. Vincent Poor
:
A Virtual-Queue-Based Algorithm for Constrained Online Convex Optimization With Applications to Data Center Resource Allocation. 703-716 - Sindri Magnússon
, Chinwendu Enyioha
, Na Li
, Carlo Fischione
, Vahid Tarokh
:
Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. 717-732 - Pei-Duo Yu
, Chee-Wei Tan
, Hung-Lin Fu
:
Averting Cascading Failures in Networked Infrastructures: Poset-Constrained Graph Algorithms. 733-748 - Lakshay Narula
, Todd E. Humphreys
:
Requirements for Secure Clock Synchronization. 749-762 - Chensheng Liu
, Jing Wu
, Chengnian Long
, Deepa Kundur
:
Reactance Perturbation for Detecting and Identifying FDI Attacks in Power System State Estimation. 763-776 - Arash Mohammadi
, Konstantinos N. Plataniotis
:
Noncircular Attacks on Phasor Measurement Units for State Estimation in Smart Grid. 777-789 - Varun Badrinath Krishna
, Carl A. Gunter, William H. Sanders:
Evaluating Detectors on Optimal Attack Vectors That Enable Electricity Theft and DER Fraud. 790-805 - Mohasinina Binte Kamal
, Gihan J. Mendis
, Jin Wei
:
Intelligent Soft Computing-Based Security Control for Energy Management Architecture of Hybrid Emergency Power System for More-Electric Aircrafts. 806-816
Volume 12, Number 5, October 2018
- Miguel R. D. Rodrigues
, Helmut Bölcskei, Stark C. Draper
, Yonina C. Eldar, Vincent Yan Fu Tan:
Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing. 821-824 - Or Ordentlich
, Gizem Tabak, Pavan Kumar Hanumolu, Andrew C. Singer
, Gregory W. Wornell
:
A Modulo-Based Architecture for Analog-to-Digital Conversion. 825-840 - Photios A. Stavrou
, Jan Østergaard
, Charalambos D. Charalambous
:
Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources. 841-856 - Gabor Hannak
, Alessandro Perelli
, Norbert Goertz, Gerald Matz
, Mike E. Davies
:
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. 857-870 - Anusha Lalitha
, Nancy Ronquillo
, Tara Javidi
:
Improved Target Acquisition Rates With Feedback Codes. 871-885 - Simon Mak
, Yao Xie
:
Maximum Entropy Low-Rank Matrix Recovery. 886-901 - Jonathan Scarlett
, Volkan Cevher
:
Near-Optimal Noisy Group Testing via Separate Decoding of Items. 902-915 - Haifeng Li, Jian Wang
, Xin Yuan
:
On the Fundamental Limit of Multipath Matching Pursuit. 916-927 - Ravi Kiran Raman
, Lav R. Varshney
:
Universal Joint Image Clustering and Registration Using Multivariate Information Measures. 928-943 - Hussein Saad, Aria Nosratinia
:
Community Detection With Side Information: Exact Recovery Under the Stochastic Block Model. 944-958 - Kwangjun Ahn
, Kangwook Lee
, Changho Suh
:
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model. 959-974 - Mine Alsan
, Ranjitha Prasad
, Vincent Y. F. Tan
:
Lower Bounds on the Bayes Risk of the Bayesian BTL Model With Applications to Comparison Graphs. 975-988 - Minje Jang
, Sunghyun Kim
, Changho Suh
:
Top-K Rank Aggregation From M-Wise Comparisons. 989-1004 - Qunwei Li
, Tiexing Wang
, Donald J. Bucci
, Yingbin Liang, Biao Chen
, Pramod K. Varshney
:
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. 1005-1014 - Ishan Jindal
, Matthew S. Nokleby
:
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms. 1015-1030 - Ahmed M. Alaa
, Mihaela van der Schaar
:
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. 1031-1046 - Zahra Shakeri
, Anand D. Sarwate
, Waheed U. Bajwa
:
Identifiability of Kronecker-Structured Dictionaries for Tensor Data. 1047-1062 - Matías Vera
, Leonardo Rey Vega
, Pablo Piantanida
:
Compression-Based Regularization With an Application to Multitask Learning. 1063-1076 - Dragana Bajovic
, Kanghang He
, Lina Stankovic
, Dejan Vukobratovic
, Vladimir Stankovic
:
Optimal Detection and Error Exponents for Hidden Semi-Markov Models. 1077-1092 - Matthew P. Johnson
, Liang Zhao, Supriyo Chakraborty:
Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs Under Full Data. 1093-1105 - Flávio du Pin Calmon
, Dennis Wei
, Bhanukiran Vinzamuri
, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
:
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. 1106-1119
Volume 12, Number 6, December 2018
- Thierry Bouwmans
, Namrata Vaswani, Paul Rodríguez
, René Vidal, Zhouchen Lin:
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. 1127-1130 - Panos P. Markopoulos
, Mayur Dhanaraj
, Andreas E. Savakis:
Adaptive L1-Norm Principal-Component Analysis With Online Outlier Rejection. 1131-1143 - Ming Yin
, Deyu Zeng
, Junbin Gao
, Zongze Wu
, Shengli Xie:
Robust Multinomial Logistic Regression Based on RPCA. 1144-1154 - Maboud F. Kaloorazi
, Rodrigo C. de Lamare
:
Compressed Randomized UTV Decompositions for Low-Rank Matrix Approximations. 1155-1169 - Mostafa Rahmani
, George K. Atia
:
Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption. 1170-1181 - Zhipeng Xue, Xiaojun Yuan
, Yang Yang
:
Turbo-Type Message Passing Algorithms for Compressed Robust Principal Component Analysis. 1182-1196 - Nguyen Linh-Trung
, Viet-Dung Nguyen
, Messaoud Thameri, Truong Minh-Chinh
, Karim Abed-Meraim:
Low-Complexity Adaptive Algorithms for Robust Subspace Tracking. 1197-1212 - Stephan Kaltenstadler, Shinichi Nakajima
, Klaus-Robert Müller
, Wojciech Samek
:
Wasserstein Stationary Subspace Analysis. 1213-1223 - Yuchen Jiao
, Yanxi Chen, Yuantao Gu
:
Subspace Change-Point Detection: A New Model and Solution. 1224-1239 - Chuang Wang
, Yonina C. Eldar
, Yue M. Lu
:
Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis. 1240-1252 - Ignacio Ramírez
:
Binary Matrix Factorization via Dictionary Learning. 1253-1262 - Lei Qi
, Jing Huo, Xiaocong Fan, Yinghuan Shi
, Yang Gao
:
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification. 1263-1275 - Berkan Kadioglu
, Ilkay Yildiz
, Pau Closas
, Deniz Erdogmus:
M-Estimation-Based Subspace Learning for Brain Computer Interfaces. 1276-1285 - Yang Yang
, Marius Pesavento
, Symeon Chatzinotas
, Björn E. Ottersten:
Successive Convex Approximation Algorithms for Sparse Signal Estimation With Nonconvex Regularizations. 1286-1302 - Archana Pritam Kale
, Shefali Sonavane
:
PF-FELM: A Robust PCA Feature Selection for Fuzzy Extreme Learning Machine. 1303-1312 - Behnaz Rezaei
, Sarah Ostadabbas
:
Moving Object Detection Through Robust Matrix Completion Augmented With Objectness. 1313-1323 - Stylianos Moschoglou
, Evangelos Ververas
, Yannis Panagakis
, Mihalis A. Nicolaou, Stefanos Zafeiriou
:
Multi-Attribute Robust Component Analysis for Facial UV Maps. 1324-1337 - Ruoyu Liu
, Yao Zhao
, Shikui Wei
:
Enhance Neighbor Reversibility in Subspace Learning for Image Retrieval. 1338-1350 - Danfeng Hong
, Xiao Xiang Zhu
:
SULoRA: Subspace Unmixing With Low-Rank Attribute Embedding for Hyperspectral Data Analysis. 1351-1363 - Yongyong Chen
, Shuqin Wang
, Yicong Zhou
:
Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization. 1364-1377 - Yipeng Liu
, Longxi Chen, Ce Zhu
:
Improved Robust Tensor Principal Component Analysis via Low-Rank Core Matrix. 1378-1389 - Bo Jiang
, Shiqian Ma
, Shuzhong Zhang:
Low-M-Rank Tensor Completion and Robust Tensor PCA. 1390-1404 - Hao Kong
, Xingyu Xie
, Zhouchen Lin
:
t-Schatten-p Norm for Low-Rank Tensor Recovery. 1405-1419 - Jingyu Yang
, Yuyuan Zhu, Kun Li
, Jiaoru Yang, Chunping Hou:
Tensor Completion From Structurally-Missing Entries by Low-TT-Rankness and Fiber-Wise Sparsity. 1420-1434 - Weisheng Dong
, Tao Huang, Guangming Shi, Yi Ma, Xin Li
:
Robust Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising. 1435-1448 - Hafiz Imtiaz
, Anand D. Sarwate
:
Distributed Differentially Private Algorithms for Matrix and Tensor Factorization. 1449-1464 - Weizhong Yu
, Feiping Nie
, Fei Wang
, Rong Wang
, Xuelong Li
:
Fast and Flexible Large Graph Embedding Based on Anchors. 1465-1475 - Hongying Liu
, Zhi Wang, Fanhua Shang, Shuyuan Yang
, Shuiping Gou
, Licheng Jiao
:
Semi-Supervised Tensorial Locally Linear Embedding for Feature Extraction Using PolSAR Data. 1476-1490 - Na Liu, Wei Li
, Qian Du
:
Unsupervised Feature Extraction for Hyperspectral Imagery Using Collaboration-Competition Graph. 1491-1503 - Linghang Meng, Gen Li, Jingkai Yan
, Yuantao Gu
:
A General Framework for Understanding Compressed Subspace Clustering Algorithms. 1504-1519 - Chun-Guang Li
, Chong You
, René Vidal:
On Geometric Analysis of Affine Sparse Subspace Clustering. 1520-1533 - Abolfazl Hashemi
, Haris Vikalo
:
Evolutionary Self-Expressive Models for Subspace Clustering. 1534-1546 - Ren Wang
, Meng Wang
, Jinjun Xiong
:
Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. 1547-1560 - Yaser Esmaeili Salehani
, Ehsan Arabnejad
, Mohamed Cheriet
:
Graph and Sparse-Based Robust Nonnegative Block Value Decomposition for Clustering. 1561-1574 - Andrew Gitlin, Biaoshuai Tao
, Laura Balzano
, John Lipor
:
Improving K-Subspaces via Coherence Pursuit. 1575-1588 - Carlos Hinojosa
, Jorge Bacca
, Henry Arguello
:
Coded Aperture Design for Compressive Spectral Subspace Clustering. 1589-1600 - Mahdi Abavisani
, Vishal M. Patel
:
Deep Multimodal Subspace Clustering Networks. 1601-1614 - Yu Wang
, Bin Dai
, Gang Hua, John A. D. Aston
, David P. Wipf
:
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers. 1615-1627
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