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ORCIDIEEE 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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