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ORCIDGlobalSIP 2018: Anaheim, CA, USA
- 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018, Anaheim, CA, USA, November 26-29, 2018. IEEE 2018, ISBN 978-1-7281-1295-4
GS-L.1: Image Restoration and Reconstruction
- Dong Hye Ye, Gregery T. Buzzard
, Max Ruby, Charles A. Bouman:
Deep Back Projection for Sparse-View CT Reconstruction. 1-5 - Hani Almansouri, S. V. Venkatakrishnan, Gregery T. Buzzard, Charles A. Bouman, Hector J. Santos-Villalobos:
Deep Neural Networks for Non-Linear Model-Based Ultrasound Reconstruction. 6-10 - V. S. Unni, Sanjay Ghosh, Kunal N. Chaudhury:
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration. 11-15 - Takahiro Nagata, Satoshi Motohashi, Tomio Goto:
Blind Image Restoration of Blurred Images Using Failing Detection Process. 16-20
GS-L.2: Image and Video Enhancement
- Deepak Dhillon, Rajlaxmi Chouhan:
Noise-Aided Edge-Preserving Image Denoising Using Non-Local Means with Stochastic Resonance. 21-25 - Sanjay Ghosh, Kunal N. Chaudhury:
Color Bilateral Filtering Using Stratified Fourier Sampling. 26-30 - Zhuang Xiong, Xiaoming Tao, Nan Zhao, Baihong Lin:
Single Image Super-Resolution Using a Non-Local 3D Convolutional Neural Network. 31-35 - Yusuke Nakahara, Takuro Yamaguchi, Masaaki Ikehara:
Single Image Super-Resolution with Limited Number of Filters. 36-40 - Yang Zhou, Xiaohong Liu, Lei Chen, Jiying Zhao:
Video Super-Resolution via Dynamic Local Filter Network. 41-45
GS-L.3: Machine Learning for Signal Processing
- Tiannan Dong, Jianji Wang, Meng Yang, Kai Yi, Nanning Zheng:
Affine LBG for Codebook Training of Univariate Linear Representation. 46-50 - Samrat Nath, Jingxian Wu:
Bayesian Quickest Change Point Detection with Multiple Candidates of Post-Change Models. 51-55 - Seyedehsara Nayer, Namrata Vaswani:
Phaseless Subspace Tracking. 56-60 - Babak Barazandeh, Meisam Razaviyayn:
On the Behavior of the Expectation-Maximization Algorithm for Mixture Models. 61-65 - Rui Xie, Fangyu Li, Zengyan Wang, Wen-Zhan Song:
Large Scale Randomized Learning Guided by Physical Laws with Applications in Full Waveform Inversion. 66-70
GS-L.4: Localization in Wireless Networks
- Giuseppe Abreu, Alireza Ghods:
Hybrid Wireless Localization via Complex-domain Isometric Embedding. 71-75 - Giuseppe Abreu, Alireza Ghods:
Turbo MRC-SMDS: Low-complexity Cooperative Localization from Hybrid Information. 76-80 - Shunan Jiang, Wenqiang Pu, Zhi-Quan Luo:
Optimal Asynchronous Multi-Sensor Registration in 3 Dimensions. 81-85 - Jeffrey D. Poston:
Toward Tracking Multiple Building Occupants by Footstep Vibrations. 86-90
GS-L.5: Image-Based Quality Assessment and Performance Analysis
- Anustup Choudhury, Scott Daly:
HDR Image Quality Assessment Using Machine-Learning Based Combination of Quality Metrics. 91-95 - Yasuko Sugito, Marcelo Bertalmío:
Performance Evaluation of Objective Quality Metrics on HLG-Based HDR Image Coding. 96-100 - Oguzhan Fatih Kar, Alper Gungor, Serhat Ilbey, Can Baris Top, H. Emre Guven:
A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging. 101-105 - Yasitha Warahena Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois, Charalampos Chelmis:
What Matters the Most? Optimal Quick Classification of Urban Issue Reports by Importance. 106-110
GS-L.6: Signal Processing Theory and Methods I
- Liyan Xie, George V. Moustakides, Yao Xie:
First-Order Optimal Sequential Subspace Change-Point Detection. 111-115 - Steven Sandoval, Matthew Bredin, Phillip L. De Leon:
Dominant Component Tracking for Empirical Mode Decomposition using A Hidden Markov Model. 116-120 - Israel A. Arriaga-Trejo, Arindam Bose, Aldo G. Orozco-Lugo, Mojtaba Soltanalian:
Design of Unimodular Sequence Sets with Good Correlation and Complementary Correlation Properties. 121-125 - Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh:
Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data. 126-130
GS-L.7: Compressive Sensing and Sparsity Theory
- Lakshmi Narasimhan Theagarajan:
Sketching Discrete Valued Sparse Matrices. 131-135 - Sharmin Kibria, Jinsub Kim:
Joint Sparse Recovery: Does Diversifying Sensing Matrices Help? 136-140 - Pakshal Bohra, Ajit Rajwade:
Poisson Low-Rank Matrix Recovery Using the Anscombe Transform. 141-145 - Wei Chen:
A Nonconvex Algorithm for Simultaneously Sparse and Low-Rank Matrix Reconstruction. 146-150 - Chinmay Talegaonkar, Ajit Rajwade:
Performance Bounds for Tractable Poisson Denoisers with Principled Parameter Tuning. 151-155
GS-P.1: Massive MIMO
- Malong Ke, Zhen Gao, Yongpeng Wu, Xiangming Meng:
Compressive Massive Random Access for Massive Machine-Type Communications (mMTC). 156-160 - Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak:
Downlink Channel Spatial Covariance Estimation in Realistic FDD Massive MIMO Systems. 161-165 - Xiaoyu Zhang, Xuanfeng Li, Yong Zhou, Hua Qian, Xiliang Luo:
How to Exploit Mobility to Mitigate Pilot Contamination? 166-170 - Jose P. Gonzalez-Coma, Pedro Suárez-Casal, Paula Maria Castro, Luis Castedo, Michael Joham:
Channel Covariance Identification in FDD Massive MIMO Systems. 171-175 - Sergi Liesegang, Olga Muñoz, Antonio Pascual-Iserte:
Interference Statistics Approximations for Data Rate Analysis in Uplink Massive MTC. 176-180 - Mojtaba Mahdavi, Ove Edfors, Viktor Öwall, Liang Liu:
A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing. 181-185
GS-P.2: Wireless Communications
- Bingqi Zhang, Chen Gong, Shangbin Li, Zhengyuan Xu:
Constellation Design for LED-based Full-Duplex VLC. 186-190 - Neeraj Varshney, Prabhat Kumar Sharma, Mohamed-Slim Alouini:
Opportunistic Scheduling in Underlay Cognitive Radio Based Systems: User Selection Probability Analysis. 191-195 - Jiawei Liu, Mohammad Saquib:
Transmission Design for a Joint MIMO Radar and MU-MIMO Downlink Communication System. 196-200 - Hiroki Iimori, Giuseppe Abreu, George C. Alexandropoulos:
Full-Duplex Transmission Optimization for Bi-directional MIMO links with QoS Guarantees. 201-205 - Ashok Bandi, Shankar Mysore Rama R. Bhavani, Sina Maleki, Symeon Chatzinotas, Björn E. Ottersten:
A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels. 206-210
GS-P.3: Speech and Audio Signal Processing
- Hala As'ad, Martin Bouchard, A. Homayoun Kamkar-Parsi:
Adaptive Differential Microphone Array with Distortionless Response at Arbitrary Directions for Hearing Aid Applications. 211-215 - Aditya Raikar, Sourya Basu, Rajesh M. Hegde:
Single Channel Joint Speech Dereverberation and Denoising Using Deep Priors. 216-220 - Hanwook Chung, Eric Plourde, Benoît Champagne:
A Supervised Multi-Channel Speech Enhancement Algorithm Based on Bayesian NMF Model. 221-225 - Gabriel Mittag, Sebastian Möller:
Single-Ended Packet Loss Rate Estimation of Transmitted Speech Signals. 226-230 - Nobutaka Ito, Tomohiro Nakatani:
Multiplicative Updates and Joint Diagonalization Based Acceleration for Under-Determined BSS Using a Full-Rank Spatial Covariance Model. 231-235
GS-P.4: Radar/Sonar/DOA Estimation
- Pietro Stinco, Alessandra Tesei, Alain Maguer, Fabrizio Ferraioli, Valerio Latini, Luca Pesa:
Sub-Bands Beam-Space Adaptive Beamformer for Port-Starboard Rejection in Triplet Sonar Arrays. 236-240 - Raied Caromi, Michael R. Souryal, Wen-Bin Yang:
Detection of Incumbent Radar in the 3.5 GHZ CBRS Band. 241-245 - Zhe Zhang, Xiang Chen, Zhi Tian:
A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition. 246-250 - Batu K. Chalise, Yimin D. Zhang, Braham Himed:
Compressed Sensing Based Joint DOA and Polarization Angle Estimation for Sparse Arrays with Dual-Polarized Antennas. 251-255 - Hui Chen, Tarig Ballal, Tareq Y. Al-Naffouri:
Fast Phase-Difference-Based DOA Estimation Using Random Ferns. 256-260 - Seifallah Jardak, Sajid Ahmed, Mohamed-Slim Alouini:
Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables. 261-265
GS-P.5: Signal Processing Theory and Methods II
- Hanwei Wu, Qiwen Wang, Markus Flierl:
Prediction-Based Similarity Identification for Autoregressive Processes. 266-270 - Ali Zeineddine, Stéphane Paquelet, M. Kanj, Christophe Moy, Amor Nafkha, Pierre-Yves Jezequel:
Reconfigurable Newton Structure for Sample Rate Conversion. 271-275 - Chin-Yun Yu, Li Su:
Multi-Layered Cepstrum for Instantaneous Frequency Estimation. 276-280 - Steven Sandoval, Matthew Bredin, Phillip L. De Leon:
Using Linear Prediction to Mitigate End Effects in Empirical Mode Decomposition. 281-285 - Arvind Prasadan, Raj Rao Nadakuditi:
The Finite Sample Performance of Dynamic Mode Decomposition. 286-290 - Yanbo Wang, Zhi Tian, Yue Wang:
A Measurement-Efficient Low-Rank Matrix Recovery Approach. 291-295 - Hayoung Choi, Xuming Song, Yuanming Shi:
Randomized Method for Estimating the Von Neumann Entropy of Large-Scale Density Matrices. 296-300 - Anuva Kulkarni, Franz Franchetti, Jelena Kovacevic:
Large-Scale Algorithm Design for Parallel FFT-based Simulations on GPUs. 301-305 - Evangelia Pantraki, Constantine Kotropoulos:
Face Aging as Image-to-Image Translation Using Shared-Latent Space Generative Adversarial Networks. 306-310 - Hamed Yazdanpanah, José Antonio Apolinário, Paulo S. R. Diniz, Markus V. S. Lima:
l0-Norm Feature LMS Algorithms. 311-315
GS-P.6: Compressed Sensing, Sparsity Analysis and Applications
- Chandrika Kamath, Ya-Ju Fan:
Compressing Unstructured Mesh Data Using Spline Fits, Compressed Sensing, and Regression Methods. 316-320 - Dhruv Shah, Alankar Kotwal, Ajit Rajwade:
Designing Constrained Projections for Compressed Sensing: Mean Errors and Anomalies with Coherence. 321-325 - Himanshu Pandotra, Eeshan Malhotra, Ajit Rajwade, Karthik S. Gurumoorthy:
Signal Recovery in Perturbed Fourier Compressed Sensing. 326-330 - Tao Jiang, Yuanming Shi:
Sparse and Low-Rank Optimization for Pliable Index Coding. 331-335 - Osman Musa, Peter Jung, Norbert Goertz:
Generalized Approximate Message Passing for Unlimited Sampling of Sparse Signals. 336-340 - Daniel Franz, Volker Kühn:
Vector Approximate Message Passing for Quantized Compressed Sensing. 341-345 - Nam Yul Yu:
A Novel Greedy Algorithm for Joint Sparse Recovery Through Information Transfer. 346-350 - Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues:
Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing. 351-355 - M. Salman Asif, Chinmay Hegde:
Phase Retrieval for Signals in Union of Subspaces. 356-359
States GS-P.7: Image and Video Processing for Applications
- Biao Ma, Amy R. Reibman:
A Perceptually-Inspired 2D Video Stability Estimator. 360-364 - Ying Ma, Bing Ouyang, Stephanie Farrington, Shujian Yu, John Reed, José C. Príncipe:
Joint Image Segmentation and Classification with Application to Cluttered Coral Images. 365-369 - Gaoang Wang, Jenq-Neng Hwang, Yiling Xu, Farron Wallace, Craig S. Rose:
Coarse-To-Fine Segmentation Refinement and Missing Shape Recovery for Halibut Fish. 370-374 - Yiping Duan, Xiaoming Tao, Mai Xu, Chaoyi Han, Jianhua Lu:
GAN-NL: Unsupervised Representation Learning for Remote Sensing Image Classification. 375-379 - Rui Ishiyama, Toru Takahashi, Kengo Makino, Yuta Kudo:
Fast Image Matching Based on Fourier-Mellin Phase Correlation for Tag-Less Identification of Mass-Produced Parts. 380-384 - Burak Kakillioglu, Ayesha Ahmad, Senem Velipasalar:
Object Classification from 3D Volumetric Data with 3D Capsule Networks. 385-389 - Keming Cao, Yi Xu, Pamela C. Cosman:
Patch-Aware Averaging Filter for Scaling in Point Cloud Compression. 390-394
GS-P.8: Neural Networks for Image and Video Processing
- Jian Zheng, Yifan Wang, Xiaonan Zhang, Xiaohua Li:
Classification of Severely Occluded Image Sequences via Convolutional Recurrent Neural Networks. 395-399 - Arun Asokan Nair, Luoluo Liu, Akshay Rangamani, Peter Chin, Muyinatu A. Lediju Bell, Trac D. Tran:
Reconstruction-Free Deep Convolutional Neural Networks for Partially Observed Images. 400-404 - Gregory Canal, Sivabalan Manivasagam, Shaoheng Liang, Christopher J. Rozell:
Interactive Object Segmentation with Noisy Binary Inputs. 405-409 - Xiao Hu, Xiaoqiang Guo, Zhuqing Jiang, Yun Zhou, Zixuan Yang:
Person Re-Identification by Refined Attribute Prediction and Weighted Multi-Part Constraints. 410-414 - Xiao Hu, Xiaoqiang Guo, Zhuqing Jiang, Yun Zhou, Zixuan Yang:
Region-Partition Based Bilinear Fusion Network for Person Re-Identification. 415-419
BIO-L.1: Signal Processing for Rehabilitation & Assistive Systems
- Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady:
Adaptive CSP for User Independence in MI-BCI Paradigm for Upper Limb Stroke Rehabilitation. 420-423 - Mahsa Khosravi, Seyed Farokh Atashzar, Greydon Gilmore, Mandar S. Jog, Rajni V. Patel:
Electrophysiological Signal Processing for Intraoperative Localization of Subthalamic Nucleus During Deep Brain Stimulation Surgery. 424-428 - Yantao Lu, Senem Velipasalar:
Human Activity Classification Incorporating Egocentric Video and Inertial Measurement Unit Data. 429-433 - Migyeong Gwak, Ellen Woo, Majid Sarrafzadeh:
The Role of Accelerometer and Gyroscope Sensors in Identification of Mild Cognitive Impairment. 434-438 - Junyou He, Hailun Xia, Chunyan Feng, Yunfei Chu:
CNN-Based Action Recognition Using Adaptive Multiscale Depth Motion Maps and Stable Joint Distance Maps. 439-443
BIO-L.2: Signal Processing for Wearable Health Technologies
- Sara Fridovich-Keil, Peter J. Ramadge:
Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos. 444-448 - Fangyu Li, José Clemente, Wen-Zhan Song:
Non-Intrusive and Non-Contact Sleep Monitoring with Seismometer. 449-453 - Katherine McLeod, Liudmyla Girchenko, Peter Spenler, Petros Spachos:
A Smartphone-based Wellness Assessment Using Mobile Sensors. 454-458 - Kai-Chieh Hsu, Bo-Hong Cho, Ching-Yao Chou, An-Yeu Andy Wu:
Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring. 459-463
BIO-L.3: Neural Signal Processing and BCI Systems
- Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh:
Characterizing Unobserved Factors Driving Local Field Potential Dynamics Underlying A Time-Varying Spike Generation. 464-468 - Mohamad Shahbazi, Hamid Aghajan:
A Generalizable Model for Seizure Prediction Based on Deep Learning Using CNN-LSTM Architecture. 469-473 - Suguru Kanoga, Atsunori Kanemura, Hideki Asoh:
A Comparative Study of Features and Classifiers in Single-Channel EEG-Based Motor Imagery BCI. 474-478 - Golnar Kalantar, Mahsa Mirgholami, Amir Asif, Arash Mohammadi:
Improving the Performance of Motor Imagery EEG-Based BCIS via an Adaptive Epoch Trimming Mechanism. 479-483 - Obada Al Zoubi, Ahmad Mayeli, Vadim Zotev, Hazem H. Refai, Martin P. Paulus, Jerzy Bodurka:
Polarity Invariant Transformation for EEG Microstates Analysis. 484-488
BIO-L.4: Bio-Signal Processing & Machine Learning for MCPS
- Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang:
Overt Speech Retrieval from Neuromagnetic Signals Using Wavelets and Artificial Neural Networks. 489-493 - Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat B. Biswal:
How Many FMRI Scans are Necessary and Sufficient for Resting Brain Connectivity Analysis? 494-498 - Sawon Pratiher, Subhankar Chattoraj, Rajdeep Mukherjee:
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures. 499-503 - Ali Foroughi Pour, Lori A. Dalton:
Bayesian Feature Selection with Data Integration. 504-508 - Rajesh Amerineni, Lalit Gupta, Resh S. Gupta:
A Context-Integrating Signal Classification Model for Resolving Ambiguous Stimuli. 509-513
BIO-L.5: Biomedical Image Processing I
- Harsha Sridhar, J. R. Harish Kumar, Subramanya Jois, Chandra Sekhar Seelamantula:
An Unconstrained Ellipse Fitting Technique and Application to Optic Cup Segmentation. 514-518 - Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee:
Unsupervised Semantic Segmentation of Kidneys Using Radial Transform Sampling on Limited Images. 519-523 - S. P. Subramanya Jois, Harsha Sridhar, J. R. Harish Kumar:
A Fully Automated Spinal Cord Segmentation. 524-528 - Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. 529-533 - Hao-Chiang Shao:
Unveiling Vestiges of Man-Made Modifications on Molecular-Biological Experiment Images. 534-538
BIO-L.6: Biomedical Image Processing II
- Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee:
Cylindrical Transform: 3D Semantic Segmentation of Kidneys with Limited Annotated Images. 539-543 - Yin Xian, Hanlin Gu, Wei Wang, Xuhui Huang, Yuan Yao, Yang Wang, Jian-Feng Cai:
Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification. 544-548 - Atefeh Shahroudnejad, Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi:
Improved Explainability of Capsule Networks: Relevance Path by Agreement. 549-553
DLW-L.1: Design and Implementation of Deep Learning for Wireless Communications
- Chieh-Fang Teng, Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu Andy Wu:
Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. 554-558 - Xiaosi Tan, Zhiwei Zhong, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Low-Complexity Message Passing MIMO Detection Algorithm with Deep Neural Network. 559-563 - Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi:
Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval. 564-568 - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Neural Lattice Decoders. 569-573 - Chuang Ye, Mustafa Cenk Gursoy, Senem Velipasalar:
Deep Learning Based Power Control for Quality-Driven Wireless Video Transmissions. 574-578
DLW-L.2: Deep-Learning-Based Signal Processing for Wireless Communications
- Theodoros Tsiligkaridis, David Romero:
Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access. 579-583 - Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
A Model-Driven Deep Learning Network for MIMO Detection. 584-588 - Daniyal Amir Awan, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak:
Set-Theoretic Learning for Detection in Cell-Less C-Ran Systems. 589-593 - Guobao Lu, Qilong Zhang, Xin Zhang, Fei Shen, Fei Qin:
CNN Based Rician K Factor Estimation for Non-Stationary Industrial Fading Channel. 594-598 - Chen Zhong, Ziyang Lu, Mustafa Cenk Gursoy, Senem Velipasalar:
Actor-Critic Deep Reinforcement Learning for Dynamic Multichannel Access. 599-603
DLW-L.3: Deep-Learning-Based Network Optimization for Wireless Communications
- Amir Ghasemi:
Data-Driven Prediction of Cellular Networks Coverage: An Interpretable Machine-Learning Model. 604-608 - Jiaying Yin, Lixin Li, Yang Xu, Wei Liang, Huisheng Zhang, Zhu Han:
Joint Content Popularity Prediction and Content Delivery Policy for Cache-Enabled D2D Networks: A Deep Reinforcement Learning Approach. 609-613 - Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
Scalable Network Adaptation for Cloud-Rans: An Imitation Learning Approach. 614-618 - Junkang Zhang, Cheolhong An, Truong Q. Nguyen:
Deep Joint Demosaicing and Super Resolution on High Resolution Bayer Sensor Data. 619-623 - Jing Ran, Yexin Chen, Shulan Li:
Three-Dimensional Convolutional Neural Network Based Traffic Classification for Wireless Communications. 624-627
DLN-L.1: Distributed Learning & Optimization: Algorithms
- Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization. 628-632 - Meng Ma, Jineng Ren, Georgios B. Giannakis, Jarvis D. Haupt:
Fast Asynchronous Decentralized Optimization: Allowing Multiple Masters. 633-637 - Jineng Ren, Jarvis D. Haupt:
Provably Communication-Efficient Asynchronous Distributed Inference for Convex and Nonconvex Problems. 638-642 - Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Exact Nonparametric Decentralized Online Optimization. 643-647
DLN-L.2: Distributed Learning & Optimization: Applications I
- Ping Xu, Zhi Tian, Yue Wang:
An Energy-Efficient Distributed Average Consensus Scheme via Infrequent Communication. 648-652 - Wei-Ting Chang, Ravi Tandon:
On the Capacity of Secure Distributed Fast Fourier Transform. 653-657 - Hongbin Zhu, Kai Kang, Xiliang Luo, Hua Qian:
Energy-Aware Sensor Scheduling in Distributed Gaussian Detection. 658-662 - Tetsuya Youkawa, Haruki Mori, Yuki Miyauchi, Kazuki Yamada, Shintaro Izumi, Masahiko Yoshimoto, Hiroshi Kawaguchi:
Delayed Weight Update for Faster Convergence in Data-Parallel Deep Learning. 663-667 - Rajat Sanyal, Kunal Narayan Chaudhury:
Consensus Optimization for Distributed Registration. 668-672
DLN-L.3: Distributed Learning & Optimization: Applications II
- Zhiyang Wang, Ziyu Ying, Cong Shen:
Opportunistic Spectrum Access via Good Arm Identification. 673-677 - Hongbin Zhu, Haifeng Wang, Xiliang Luo, Hua Qian:
An Online Learning Approach to Wireless Computation Offloading. 678-682 - Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo:
Online Optimal Task Offloading with One-Bit Feedback. 683-687 - Fuqian Yang, Zhaowei Zhu, Shangshu Zhao, Yang Yang, Xiliang Luo:
Optimal Task Offloading in Fog-Enabled Networks via Index Policies. 688-692 - José Clemente, Fangyu Li, Wen-Zhan Song:
Optimal Data Task Distribution for Balancing Energy Consumption on Cooperative Fog Networks. 693-697
GSP-L.1: Graph Signal Processing I
- Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. 698-702 - Jonathan Mei, José M. F. Moura:
Single Index Latent Variable Models for Network Topology Inference. 703-707 - Feng Ji, Wee Peng Tay:
Generalized Graph Signal Processing. 708-712 - Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sampling and Reconstruction of Signals on Product Graphs. 713-717 - Harry Sevi, Gabriel Rilling, Pierre Borgnat:
Modeling Signals over Directed Graphs Through Filtering. 718-722
GSP-L.2: Graph Signal Processing II
- Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
CNN Architectures for Graph Data. 723-724 - Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-Projection: 3D Point Cloud Denoising with Tangent Planes. 725-729 - Roxana Alexandru, Pier Luigi Dragotti:
Rumour Source Detection in Social Networks using Partial Observations. 730-734 - Michael T. Schaub, Santiago Segarra:
Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. 735-739 - Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett:
Graph-Based Regularization for Regression Problems with Highly-Correlated Designs. 740-742
GSP-P.1: Graph Signal Processing III
- Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Predicting Power Outages Using Graph Neural Networks. 743-747 - Jiachun Pan, Wenyi Zhang:
Identifying Rumor Sources Using Dominant Eigenvalue of Nonbacktracking Matrix. 748-752 - Alexander Serrano, Benjamin Girault, Antonio Ortega:
Graph Variogram: A Novel Tool to Measure Spatial Stationarity. 753-757 - Jingkang Yang, Santiago Segarra:
Enhancing Geometric Deep Learning via Graph Filter Deconvolution. 758-762 - Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon:
Graph-Projected Signal Processing. 763-767 - Rohan A. Varma, Jelena Kovacevic:
Sampling Theory for Graph Signals on Product Graphs. 768-772 - Luis M. Lopez-Ramos, Daniel Romero, Bakht Zaman, Baltasar Beferull-Lozano:
Dynamic Network Identification from Non-Stationary Vector Autoregressive Time Series. 773-777 - Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. 778-782 - Oguzhan Teke, P. P. Vaidyanathan:
Energy Compaction Filters on Graphs. 783-787 - Siavash Mollaebrahim, Cesar Asensio-Marco, Daniel Romero, Baltasar Beferull-Lozano:
Decentralized Subspace Projection in Large Networks. 788-792 - Peter Berger, Thomas Dittrich, Gerald Matz:
Semi-Supervised Clustering Based on Signed Total Variation. 793-797 - Kaige Yang, Laura Toni:
Graph-Based Recommendation System. 798-802
GCN-L.1: Energy Harvesting
- Yongjun Xu, Xiaolei Yu, Yao Peng, Guoquan Li, Qianbin Chen:
Robust Energy-Efficient Power Allocation Strategy for Energy Harvesting-Aided Heterogeneous Cellular Networks. 803-807 - Wei Li, Meng-Lin Ku, Yan Chen, Zhonghua Liang:
Outage Probability for Two-Way Relay Networks with Stochastic Energy Harvesting Source Nodes. 808-812 - Ghazaleh Ardeshiri, Hassan Yazdani, Azadeh Vosoughi:
Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks. 813-817 - Szu-Liang Wang, Chih-Yu Wang, Wei-Ho Chung:
Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel. 818-822
GCN-L.2: Energy Efficiency in Massive MIMO
- Tuan Anh Le, Trinh Van Chien, Mohammad Reza Nakhai:
A Power Efficient Pilot Design for Multi-Cell Massive MIMO Systems. 823-827 - Trang C. Mai, Hien Quoc Ngo, Trung Quang Duong:
Cell-Free Massive MIMO Systems with Multi-Antenna Users. 828-832 - Mingjie Shao, Qiang Li, Yatao Liu, Wing-Kin Ma:
Multiuser One-Bit Massive MIMO Precoding Under MPSK Signaling. 833-837 - Mangqing Guo, Mustafa Cenk Gursoy:
Energy-Efficient Joint Antenna and User Selection in Single-Cell Massive MIMO Systems. 838-842
GCN-L.3: Signal and Information Processing for Energy Efficiency
- Yaxi Liu, Wei Huangfu, Haijun Zhang, Keping Long:
Elite Gradient Descent Optimization of Antenna Parameters Constrained by Radio Coverage in Green Cellular Networks. 843-847 - Chao Yang, Shusen Jing, Xiao Liang, Zaichen Zhang, Xiaohu You, Chuan Zhang:
A Large-Scale Extension of Sparse-Code Multiple-Access System. 848-852 - Chia-Wei Huang, Chung-An Shen, Tai-Lin Chin, Shan-Hsiang Shen:
A Real-time and Memory-saving Link Recovery Mechanism for Green Software-Defined Networking. 853-857 - Chun-Wei Wu, Chung-An Shen:
The Hardware and Software Co-Design of a Stackable OpenFlow Switch for Software Defined Networking. 858-862
SMI-L.1: Optimization and Control in Smart Grids
- Zachary J. Lee, Daniel Chang, Cheng Jin, George S. Lee, Rand Lee, Ted Lee, Steven H. Low:
Large-Scale Adaptive Electric Vehicle Charging. 863-864 - Mohammad Rasoul Narimani, Daniel K. Molzahn, Harsha Nagarajan, Mariesa L. Crow:
Comparison of Various Trilinear Monomial Envelopes for Convex Relaxations of Optimal Power Flow Problems. 865-869 - Yu Lan, Hao Zhu, Xiaohong Guan:
Fast Nonconvex SDP Solver for Large-Scale Power System State Estimation. 870-874 - Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis:
Kernel-Based Learning for Smart Inverter Control. 875-879 - Mohammadhafez Bazrafshan, Nikolaos Gatsis, Marcio Giacomoni, Ahmad F. Taha:
A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks. 880-884
SMI-L.2: Resilience and Security of Power Grids
- Umar Islambekov, Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor:
Role of Local Geometry in Robustness of Power Grid Networks. 885-889 - Elisabeth Drayer, Tirza Routtenberg:
Detection of False Data Injection Attacks in Power Systems with Graph Fourier Transform. 890-894 - Chen Chen, Bo Chen:
Modernizing Distribution System Restoration to Achieve Resiliency Against Extreme Weather Events. 895-896 - Saurabh Sihag, Ali Tajer:
Non-Linear State Estimation in Power Systems Under Model Uncertainty. 897-901 - Shashini De Silva, Travis Hagan, Jinsub Kim, Eduardo Cotilla Sanchez:
Sparse Error Correction for PMU Data Under GPS Spoofing Attacks. 902-906
SMI-L.3: Learning in Energy Systems
- Liang Zhang, Gang Wang, Georgios B. Giannakis:
Real-Time Power System State Estimation via Deep Unrolled Neural Networks. 907-911 - Chase P. Dowling, Daniel S. Kirschen, Baosen Zhang:
Coincident Peak Prediction Using a Feed-Forward Neural Network. 912-916 - Ahmadreza Moradipari, Cody Silva, Mahnoosh Alizadeh:
Learning to Dynamically Price Electricity Demand Based on Multi-Armed Bandits. 917-921 - Kyri Baker, Andrey Bernstein:
Joint Chance Constraints Reduction Through Learning in Active Distribution Networks. 922-926 - Sifat Shahriar Khan, Jin Wei:
Real-Time Power Outage Detection System using Social Sensing and Neural Networks. 927-931
SMI-P.1: Monitoring, Control and Markets in Energy Systems
- Zhidi Lin, Dongliang Duan, Qi Yang, Xiang Cheng, Liuqing Yang, Shuguang Cui:
One-Class Classifier Based Fault Detection in Distribution Systems with Distributed Energy Resources. 932-936 - Jingyuan Liu, Pirathayini Srikantha:
Distributed Assimilation of Grid Conditions and Load Integration via Social Learning. 937-941 - Saeed Ahmadian, Heidar Malki, Zhu Han:
Cyber Attacks on Smart Energy Grids Using Generative Adverserial Networks. 942-946 - Andrew Mackey, Petros Spachos, Konstantinos N. Plataniotis:
Enhanced Indoor Navigation System with Beacons and Kalman Filters. 947-950 - Ding Xiang, Ermin Wei:
Dynamic Price Discrimination in Demand Response Market: A Bilevel Game Theoretical Model. 951-955 - Hossein Khazaei, Yue Zhao:
A Simple Market Mechanism for Renewable Power Producers Achieves Asymptotic Social Efficiency. 956-957
MHI-L.1: Multispectral and Hyperspectral Imaging and Analysis I
- Faiz Ur Rahman, Bhavan Vasu, Jared Van Cor, John P. Kerekes, Andreas E. Savakis:
Siamese Network with Multi-Level Features for Patch-Based Change Detection in Satellite Imagery. 958-962 - Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann:
Anomaly Detection with High Resolution Hyperspectral Observations. 963-967 - Farideh Foroozandeh Shahraki, Saurabh Prasad:
Graph Convolutional Neural Networks for Hyperspectral Data Classification. 968-972
MHI-L.2: Multispectral and Hyperspectral Imaging and Analysis II
- Mahsa Lotfollahi, Davar Daeinejad, Sebastian Berisha, David Mayerich:
Digital Staining of High-Resolution FTIR Spectroscopic Images. 973-977 - Xinyue Zhang, Xudong Zhang:
Tensor Compressive Hyperspectral Imaging Based on Total Variation Norm Minimization. 978-982 - Julien Baur, Gregory Dobler, Federica B. Bianco, Mohit S. Sharma, Andreas Karpf:
Persistent Hyperspectral Observations of the Urban Lightscape. 983-987 - Thapanapong Rukkanchanunt, Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi:
Disparity Map Estimation from Cross-Modal Stereo. 988-992 - Zhengzhi Gu, Suyu Wang, Fengqing Zhu:
Endmember Dictionary Based Hyperspectral Image Unmixing. 993-997
5GS-L.1: 5G Technologies
- Stelios Stefanatos, Mahdi Barzegar Khalilsarai, Gerhard Wunder:
Wideband Massive MIMO Channel Estimation via Sequential Atomic Norm Minimization. 998-1002 - Giovanni Interdonato, Marcus Karlsson, Emil Björnson, Erik G. Larsson:
Downlink Spectral Efficiency of Cell-Free Massive MIMO with Full-Pilot Zero-Forcing. 1003-1007 - Sungwoo Park, Anum Ali, Nuria González Prelcic, Robert W. Heath Jr.:
Spatial Channel Covariance Estimation for the Hybrid Architecture at a Base Station: A Tensor-Decomposition-Based Approach. 1008-1012 - Yazan Al-Alem, Ahmed A. Kishk, Raed M. Shubair:
Wireless Chip to Chip Communication Link Budget Enhancement Using Hard/Soft Surfaces. 1013-1014 - Hassan Yazdani, Azadeh Vosoughi:
On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas. 1015-1019 - Nicolas Cassiau, Luc Maret, Jean-Baptiste Dore, Valentin Savin, Dimitri Ktenas:
Assessment of 5G NR Physical Layer for Future Satellite Networks. 1020-1024 - Florian Völk, Robert T. Schwarz, Mario Lorenz, Andreas Knopp, Markus H. Landmann:
Concept and Evaluation of Mobile Cell Connectivity over a Satellite Backhaul for Future 5G Networks. 1025-1029 - Miguel Ángel Vázquez, Ana I. Pérez-Neira:
Spectral Clustering for Beam-Free Satellite Communications. 1030-1034 - Nele Noels, Marc Moeneclaey, Tomás Ramírez, Carlos Mosquera, Màrius Caus, Adriano Pastore:
Symbol-Asynchronous Transmission in Multibeam Satellite User Down-Link: Rate Regions for Novel Superposition Coding Schemes. 1035-1039 - Jean-Baptiste Dore, Vincent Berg:
Turbo-FSK: A 5G NB-IoT Evolution for LEO Satellite Networks. 1040-1044
5GS-P.1: 5G Satellite Networks
- Francesc Molina, Josep Sala-Alvarez, Javier Villares, Francesc Rey:
Joint Energy and Rate Allocation for Successive Interference Cancellation in the Finite Blocklength Regime. 1045-1049 - Arpan Chattopadhyay, Urbashi Mitra:
Active Sensing for Markov Chain Tracking. 1050-1054 - Ahmed Alkhateeb, Iz Beltagy, Sam Alex:
Machine Learning for Reliable MMWAVE Systems: Blockage Prediction and Proactive Handoff. 1055-1059 - Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair:
A Machine Learning Approach for the Classification of Indoor Environments Using RF Signatures. 1060-1062 - Jan Budroweit, Ferdinand Stehle, Christopher Willuweit, Dirk Wübben:
Implementation of a HDL-Coder Based Telecommand Receiver Application for Microsatellite Communication. 1063-1067 - Hefei Hu, Shanshan Zhang, Bihua Tang:
LEO Software Defined Networking Based on Onboard Controller. 1068-1071 - Hefei Hu, Heng Li, Yuanan Liu:
Bandwidth and Round-Trip Time Detection Based Congestion Control for Multipath TCP over Highly Lossy Satellite Networks. 1072-1075 - Sylvain Cluzel, Mathieu Dervin, José Radzik, Sonia Cazalens, Cédric Baudoin, Daniela Dragomirescu:
Physical Layer Abstraction for Performance Evaluation of LEO Satellite Systems for IOT Using Time-Frequency Aloha Scheme. 1076-1080 - Vahid Joroughi, Eva Lagunas, Stefano Andrenacci, Nicola Maturo, Symeon Chatzinotas, Joel Grotz, Björn E. Ottersten:
Deploying Joint Beam Hopping and Precoding in Multibeam Satellite Networks with Time Variant Traffic. 1081-1085
RA-L.1: Instrumentation and RFI Mitigation
- Akhila Raman:
On Signal Estimation, Detection and Interference Mitigation in LIGO. 1086-1090 - Haiyan Zhang, Rui Yao, Hao Hu, Shijie Huang:
RFI Mitigation on Fast Feed Cabin. 1091-1094 - Ekhi Uranga, Álvaro Llorente, Antonio de la Fuente:
Database of SMOS RFI Sources in the 1400-1427MHz Passive Band. 1095-1098
RA-L.2: Signal Detection
- Tilahun Melkamu Getu, Wessam Ajib, René Landry:
Power-Based Continuous Wave RFI Detector for RF Operating Systems. 1099-1103 - Gelu M. Nita, Aard Keimpema, Zsolt Paragi:
Statistical Detection and Classification of Transient Signals in Low-Bit Sampling Time-Domain Signals. 1104-1108 - Gonzalo Cucho-Padin, Yue Wang, Lara Waldrop, Zhi Tian, Farzad Kamalabadi:
Efficient RFI detection in Radio Astronomy Based on Compressive Statistical Sensing. 1109-1113 - Yunfan Gerry Zhang, Ki Hyun Won, Seung Woo Son, Andrew P. V. Siemion, Steve Croft:
Self-Supervised Anomaly Detection for Narrowband SETI. 1114-1118
RA-L.3: Estimation, Mitigation and Performance
- Muhammad Zubair, Sajid Ahmed, Seifallah Jardak, Mohamed-Slim Alouini:
Optimal Eigenvalue Decomposition Based Frequency Estimation Algorithm for Complex Sinusoidal Signals. 1119-1123 - Ben A. Johnson, Douglas A. Schuyler:
Blind Co-Channel Source Separation in Sparse Interferometric Arrays. 1124-1128 - Janusz S. Kulpa, William C. Barott:
Signal Simulator for RFI Mitigation Algorithms Testing. 1129-1133 - Marwan Alkhweldi, Natalia A. Schmid:
Spatial Fourier Transform for Detection and Analysis of Periodic Astrophysical Pulses. 1134-1138
AML-L.1: Adversarial Machine Learning I
- Di Wang, Mengdi Huai, Jinhui Xu:
Differentially Private Sparse Inverse Covariance Estimation. 1139-1143 - Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin:
Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. 1144-1148 - Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu:
On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. 1149-1153 - Joseph Clements, Yingjie Lao:
Backdoor Attacks on Neural Network Operations. 1154-1158 - Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. 1159-1163
AML-P.1: Adversarial Machine Learning II
- Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury:
Multi-VIEW Frame Reconstruction with Conditional Gan. 1164-1168 - Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin:
Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. 1169-1173 - Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu:
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. 1174-1178 - Sijia Liu, Xingguo Li, Pin-Yu Chen, Jarvis D. Haupt, Lisa Amini:
Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization. 1179-1183 - Sudarshan Adiga, Mohamed Adel Attia, Wei-Ting Chang, Ravi Tandon:
On the Tradeoff between Mode Collapse and Sample Quality in Generative Adversarial Networks. 1184-1188 - Amish Goel, Pierre Moulin:
Random Ensemble of Locally Optimum Detectors for Detection of Adversarial Examples. 1189-1193
IVC-L.1: Advanced PHY Techniques for Intelligent Vehicular Communications
- Ke Guan, Bo Ai, Danping He, David W. Matolak, Qi Wang, Zhangdui Zhong, Thomas Kürner:
Obstructed Vehicle-to-Vehicle Channel Modeling for Intelligent Vehicular Communications. 1194-1198 - Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu:
Time-Sequence Channel Inference for BEAM Alignment in Vehicular Networks. 1199-1203 - Qiang Li, Miaowen Wen, Yuekai Zhang, Jun Li, Fangjiong Chen, Fei Ji:
Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications. 1204-1208 - Sharif A. Matin, Larry B. Milstein:
Impacts of Channel Impairments and Imperfections on OFDM System Performances. 1209-1213 - Xuanfan Shen, Yong Liao, Xuewu Dai:
BEM-based UKF Channel Estimation for 5G-enabled V2V Channel. 1214-1217
IVC-L.2: Applications in Internet of Intelligent Vehicles
- Fei Peng, Shunqing Zhang, Shan Cao, Shugong Xu:
A Prototype Performance Analysis for V2V Communications using USRP-based Software Defined Radio Platform. 1218-1222 - Pengtao Yang, Dongliang Duan, Chen Chen, Xiang Cheng, Liuqing Yang:
Optimal Multi-Sensor Multi-Vehicle (MSMV) Localization and Mobility Tracking. 1223-1227 - Chao Wang, Jian Wang, Xudong Zhang:
A Deep Reinforcement Learning Approach to Flocking and Navigation of UAVS in Large-Scale Complex Environments. 1228-1232 - Benjamin Naujoks, Patrick Burger, Hans-Joachim Wuensche:
The Greedy Dirichlet Process Filter -An Online Clustering Multi-Target Tracker. 1233-1237 - Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
Quickest Freeway Accident Detection Under Unknown Post-Accident Conditions. 1238-1242
MMW-L.1: Millimeter Wave Communications I
- Rui Chen, Wen-Xuan Long, Yue Gao, Jiandong Li:
Orbital Angular Momentum-Based Two-Dimensional Super-Resolution Targets Imaging. 1243-1246 - Tian Lin, Jiaqi Cong, Yu Zhu:
Hybrid Beamforming for Single Carrier MMWAVE MIMO Systems. 1247-1251 - Himanshu Pandotra, Rajbabu Velmurugan, Karthik S. Gurumoorthy, Ajit Rajwade:
Perturbed Compressed Sensing Based Single Snapshot DOA Estimation. 1252-1256 - Peter G. Vouras, Alec Weiss, Maria Becker, Ben Jamroz, Jeanne T. Quimby, Dylan F. Williams, Kate A. Remley:
Gradient-based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements. 1257-1261 - Wai Ming Chan, Wing-Shan Tam, Chi-Wah Kok, Hing Cheung So:
Delay-Line Precoder based Analog-Digital MIMO Systems with MMSE Equalizer. 1262-1265
MMW-L.2: Millimeter Wave Communications II
- Hiroyuki Kasai:
Fast Optimization Algorithm on Complex Oblique Manifold for Hybrid Precoding in Millimeter Wave MIMO Systems. 1266-1270 - Xueyuan Wang, Mustafa Cenk Gursoy:
Joint Energy and SINR Coverage in Energy Harvesting MMWAVE Cellular Networks with User-Centric Base Station Deployments. 1271-1275 - Mahfuza Khatun, Hani Mehrpouyan, David Matolak:
60-GHz Millimeter-Wave Pathloss Measurements in Boise Airport. 1276-1280 - Lisi Jiang, Hamid Jafarkhani:
Robust Multi-User Analog Beamforming in mmWave MIMO Systems. 1281-1285
WNS-L.1: Wireless Network Security I
- Ahmed Arafa, Erdal Panayirci, H. Vincent Poor:
Relay-Aided Secure Broadcasting for VLC. 1286-1290 - Reza Sohrabi, Yingbo Hua:
A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve's CSI. 1291-1295 - Yao Ge, P. C. Ching:
Robust Secrecy Design for MIMO SWIPT with Artificial Noise and Full-Duplex Receiver Jamming. 1296-1300 - Andrey Garnaev, Wade Trappe, Athina P. Petropulu:
To Communicate or to Scan: Prospect Theory Extension of a Stochastic Game. 1301-1305 - Kanke Wu, Pamela C. Cosman, Laurence B. Milstein:
Joint Partial-Time Partial-Band Jamming of a Multicarrier DS-CDMA System in a Fading Environment. 1306-1310
WNS-L.2: Wireless Network Security II
- Naveen K. D. Venkategowda, Stefan Werner:
Privacy-Preserving Distributed Precoder Design for Decentralized Estimation. 1311-1315 - Chong Xiao Wang, Yang Song, Wee Peng Tay:
Preserving Parameter Privacy in Sensor Networks. 1316-1320 - Zahir Alsulaimawi, Jinsub Kim, Thinh Nguyen:
Sequential Game Network (SEGANE) with Application to Online Data Sanitization. 1326-1330
TM-L.1: Theory/Algorithms I
- Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nikolas D. Sidiropoulos:
Imputation of Coupled Tensors and Graphs. 1331-1335 - Abbas Kazemipour, Shaul Druckmann:
Nonlinear Dimensionality Reduction Via Polynomial Principal Component Analysis. 1336-1340 - Seyyid Emre Sofuoglu, Selin Aviyente:
Sparse Discriminative Tensor Dictionary Learning for Object Classification. 1341-1345 - Ali Koochakzadeh, Piya Pal:
Simplified Algorithms for Canonical Polyadic Decomposition for Over-Complete Even Order Tensors (Ongoing Work). 1346-1347
TM-L.2: Theory/Algorithms II
- Martijn Bousse, Lieven De Lathauwer:
Large-Scale Autoregressive System Identification Using Kronecker Product Equations. 1348-1352 - Panos P. Markopoulos, Dimitris G. Chachlakis, Ashley Prater-Bennette:
L1-Norm Higher-Order Singular-Value Decomposition. 1353-1357 - Ilia Kisil, Ahmad Moniri, Danilo P. Mandic:
Tensor Ensemble Learning for Multidimensional Data. 1358-1362 - Ashley Prater-Bennette, Lixin Shen:
Sparse Tensor Recovery via N-Mode FISTA with Support Augmentation. 1363-1367 - Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt:
TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions. 1368-1372
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