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ORCIDIEEE Transactions on Signal Processing, Volume 72
Volume 72, 2024
- Fan Xu
, Jiawei Yao, Wenhai Lai, Kaiming Shen, Xin Li, Xin Chen, Zhi-Quan Luo:
Coordinating Multiple Intelligent Reflecting Surfaces Without Channel Information. 31-46 - Pei-Wen Wu, Lei Huang, David Ramírez, Yu-Hang Xiao, Hing Cheung So:
One-Bit Spectrum Sensing for Cognitive Radio. 549-564 - Arunava Naha, Subhrakanti Dey:
Bayesian Quickest Change-Point Detection With an Energy Harvesting Sensor and Asymptotic Analysis. 565-579 - Zheng Wang, Yili Xia, Cong Ling, Yongming Huang:
Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection. 580-593 - Gaetano Romano, Idris A. Eckley, Paul Fearnhead:
A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning. 594-606 - Elinor S. Davies, Ángel F. García-Fernández:
Information Exchange Track-Before-Detect Multi-Bernoulli Filter for Superpositional Sensors. 607-621 - Wenjing Yan, Xuanyu Cao:
Decentralized Multitask Online Convex Optimization Under Random Link Failures. 622-635 - Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. 636-651 - Hassaan Hashmi, Spyridon Pougkakiotis, Dionysis Kalogerias:
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design. 652-669 - Gourab Ghatak:
Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments. 670-685 - Stefano Fortunati, Fulvio Gini, Maria S. Greco, Abdelhak M. Zoubir, Muralidhar Rangaswamy:
Corrections to "Semiparametric CRB and Slepian-Bangs Formulas for Complex Elliptically Symmetric Distributions". 686 - Stefania Sardellitti, Sergio Barbarossa:
Topological Signal Processing Over Generalized Cell Complexes. 687-700 - Huizhi Wang, Zhiqiang Xiao, Yong Zeng:
Cramér-Rao Bounds for Near-Field Sensing With Extremely Large-Scale MIMO. 701-717 - Juan Hu, Lei Zuo, Pramod K. Varshney, Yongchan Gao:
Resource Allocation for Distributed Multitarget Tracking in Radar Networks With Missing Data. 718-734 - Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen:
A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. 735-743 - Fei Chen, Gene Cheung, Xue Zhang:
Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer. 744-761 - Christopher Rieser, Anne Ruiz-Gazen, Christine Thomas-Agnan:
Edgewise Outliers of Network Indexed Signals. 762-773 - Niloofar Mohamadi, Min Dong, Shahram ShahbazPanahi:
Low-Complexity Joint Antenna Selection and Robust Multi-Group Multicast Beamforming for Massive MIMO. 792-808 - Tianqi Wang, Chaoran Yin, Da Xu, Chengpeng Hao, Danilo Orlando, Giuseppe Ricci:
Joint Detection and Delay-Doppler Estimation Algorithms for MIMO Radars. 809-823 - Jiyuan Yang, Yan Chen, Xiqi Gao, Dirk T. M. Slock, Xiang-Gen Xia:
Signal Detection for Ultra-Massive MIMO: An Information Geometry Approach. 824-838 - Dionissios T. Hristopulos:
Information Flow Rate for Cross-Correlated Stochastic Processes. 839-854 - Erik G. Larsson:
Massive Synchrony in Distributed Antenna Systems. 855-866 - Howard H. Yang, Zihan Chen, Tony Q. S. Quek:
Unleashing Edgeless Federated Learning With Analog Transmissions. 774-791 - Tao Fan, Guolong Cui, Xianxiang Yu, Yi Bu, Lingjiang Kong, Xiaobo Yang:
Joint Design of Intra-Inter Agile Pulses and Doppler Filter Banks for Doppler Ambiguous Target. 867-882 - Xiaolei Shang, Ronghao Lin, Yuanbo Cheng:
Mixed-ADC Based PMCW MIMO Radar Angle-Doppler Imaging. 883-895 - Yimao Sun, K. C. Ho, Tianyi Xing, Yanbing Yang, Liangyin Chen:
Projection-Based Algorithm and Performance Analysis for TDOA Localization in MPR. 896-911 - Junkai Liu, Wei Zhang, Yi Jiang:
Fast Computation of Zero-Forcing Precoding for Massive MIMO-OFDM Systems. 912-927 - Qingming Li, H. Vicky Zhao:
Probe: Learning Users' Personal Projection Bias in Inter-Temporal Choices. 928-941 - Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu:
Activity Detection for Massive Connectivity in Cell-Free Networks With Unknown Large-Scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach. 942-957 - Ghania Fatima, Prabhu Babu, Petre Stoica:
Two New Algorithms for Maximum Likelihood Estimation of Sparse Covariance Matrices With Applications to Graphical Modeling. 958-971 - Mohammad-Hassan Ahmad Yarandi, Massoud Babaie-Zadeh:
A New Approach for Graph Signal Separation Based on Smoothness. 972-981 - Pierre Develter, Jonathan Bosse, Olivier Rabaste, Philippe Forster, Jean Philippe Ovarlez:
On the False Alarm Probability of the Normalized Matched Filter for Off-Grid Targets: A Geometrical Approach and Its Validity Conditions. 982-996 - Arian Eamaz, Kumar Vijay Mishra, Farhang Yeganegi, Mojtaba Soltanalian:
UNO: Unlimited Sampling Meets One-Bit Quantization. 997-1014 - Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén:
Distributed Continual Learning With CoCoA in High-Dimensional Linear Regression. 1015-1031 - Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo:
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback. 1032-1048 - Maaz Mahadi, Tarig Ballal, Muhammad Moinuddin, Tareq Y. Al-Naffouri, Ubaid M. Al-Saggaf:
Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator. 1049-1064 - Rui Sun, Chen Wang, An-An Lu, Xiqi Gao, Xiang-Gen Xia:
Precoder Design for Massive MIMO Downlink With Matrix Manifold Optimization. 1065-1080 - Zhong Zheng, Shiqian Ma, Lingzhou Xue:
A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval. 1081-1093 - Mingjie Shao, Wing-Kin Ma, Junbin Liu, Zihao Huang:
Accelerated and Deep Expectation Maximization for One-Bit MIMO-OFDM Detection. 1094-1113 - Talha Bozkus, Urbashi Mitra:
Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks. 1114-1129 - Quentin Legros, Dominique Fourer, Sylvain Meignen, Marcelo Alejandro Colominas:
Instantaneous Frequency and Amplitude Estimation in Multicomponent Signals Using an EM-Based Algorithm. 1130-1140 - Jianhe Du, Yuan Cheng, Libiao Jin, Shufeng Li, Feifei Gao:
Nested Tensor-Based Integrated Sensing and Communication in RIS-Assisted THz MIMO Systems. 1141-1157 - Yuqing Ren, Yifei Shen, Leyu Zhang, Andreas Toftegaard Kristensen, Alexios Balatsoukas-Stimming, Emmanuel Boutillon, Andreas Burg, Chuan Zhang:
High-Throughput and Flexible Belief Propagation List Decoder for Polar Codes. 1158-1174 - Li Chen, Wei Liu, Yunfei Chen, Weidong Wang:
Communication-Efficient Design for Quantized Decentralized Federated Learning. 1175-1188 - Ye Yuan, Xinyu Liu, Wujun Li, Wei Yi, Wan Choi:
Decentralized Resource Allocation for Multi-Radar Systems Based on Quality of Service Framework. 1189-1204 - Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau:
Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. 1205-1218 - Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu, H. Vincent Poor:
Overcoming Beam Squint in mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach. 1219-1234 - Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone:
Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. 1235-1250 - Siyuan Yu, Wei Chen, H. Vincent Poor:
Real-Time Monitoring of Chaotic Systems With Known Dynamical Equations. 1251-1268 - Zhongping Yang, Zhihui Li, Xianxiang Yu, Qingsong Zhou, Chao Huang, Jianyun Zhang:
Maximin Design of Wideband Constant Modulus Waveform for Distributed Precision Jamming. 1316-1332 - Yiwei Dai, Wenpeng Zhang, Yongxiang Liu:
From Global Statistic to Local Statistic: Micro-Doppler Period Estimation Based on Short-Time Similarity Statistic. 1269-1285 - Wenhao Chen, Jinjun Cheng, Changyu Wu, Li Chen, Huazi Zhang:
BCH Based U-UV Codes and Its SCL Decoding. 1286-1300 - Meng Huang, Zhiqiang Xu:
Strong Convexity of Affine Phase Retrieval. 1301-1315 - Andreas Theocharous, Georgia G. Gregoriou, Panagiotis Sapountzis, Ioannis Kontoyiannis:
Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains. 1333-1347 - Zhanbin Zhang, Bingo Wing-Kuen Ling, Guoheng Huang:
Joint Principal Component Analysis and Supervised k Means Algorithm via Non-Iterative Analytic Optimization Approach. 1348-1360 - Amirhossein Javaheri, Arash Amini, Farokh Marvasti, Daniel P. Palomar:
Learning Spatiotemporal Graphical Models From Incomplete Observations. 1361-1374 - Yuqing Liang, Hui Su, Jinlan Liu, Dongpo Xu:
mPage: Probabilistic Gradient Estimator With Momentum for Non-Convex Optimization. 1375-1386 - Hua Chen, Hongguang Lin, Wei Liu, Qing Wang, Qing Shen, Gang Wang:
Augmented Multi-Subarray Dilated Nested Array With Enhanced Degrees of Freedom and Reduced Mutual Coupling. 1387-1399 - Yechuan Zhang, Jian-Qing Zheng, Michael A. Chappell:
Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure. 1400-1411 - Jianjun Zhang, Yongming Huang, Christos Masouros, Xiaohu You, Björn E. Ottersten:
Hybrid Data-Induced Kalman Filtering Approach and Application in Beam Prediction and Tracking. 1412-1426 - Talha Bozkus, Urbashi Mitra:
Multi-Timescale Ensemble $Q$-Learning for Markov Decision Process Policy Optimization. 1427-1442 - Shivangi Dubey Sharma, Ketan Rajawat:
Optimized Gradient Tracking for Decentralized Online Learning. 1443-1459 - Roberto M. Pinheiro Pereira, Xavier Mestre, David Gregoratti:
Asymptotics of Distances Between Sample Covariance Matrices. 1460-1474 - Benedikt Fesl, Nurettin Turan, Benedikt Böck, Wolfgang Utschick:
Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models. 1475-1490 - Ayan Kumar Dutta, Shiv Dutt Joshi, Brejesh Lall:
On a Novel Time-Varying Up-Sampling Rate (TVUSR) Structure and Its Statistical Properties. 1491-1506 - Nicholas Chimitt, Xingguang Zhang, Yiheng Chi, Stanley H. Chan:
Scattering and Gathering for Spatially Varying Blurs. 1507-1517 - Ahmad Ali Khan, Raviraj S. Adve:
Percentile Optimization in Wireless Networks - Part I: Power Control for Max-Min-Rate to Sum-Rate Maximization (and Everything in Between). 1518-1532 - Ahmad Ali Khan, Raviraj S. Adve:
Percentile Optimization in Wireless Networks - Part II: Beamforming for Cell-Edge Throughput Maximization. 1533-1547 - David Sundström, Filip Elvander, Andreas Jakobsson:
Optimal Transport Based Impulse Response Interpolation in the Presence of Calibration Errors. 1548-1559 - Zhuoyang Liu, Haiyang Zhang, Tianyao Huang, Feng Xu, Yonina C. Eldar:
Hybrid RIS-Assisted MIMO Dual-Function Radar-Communication System. 1650-1665 - Jont B. Allen:
Chaotic Convergence of Newton's Method. 1683-1690 - Kyoya Uemura, Tomoyuki Obuchi, Toshiyuki Tanaka:
Sparse Modeling for Spectrometer Based on Band Measurement. 1724-1738 - Rintaro Ikeshita, Tomohiro Nakatani:
Geometrically-Regularized Fast Independent Vector Extraction by Pure Majorization-Minimization. 1560-1575 - Lan Lan, Massimo Rosamilia, Augusto Aubry, Antonio De Maio, Guisheng Liao:
FDA-MIMO Transmitter and Receiver Optimization. 1576-1589 - Jinsheng Li, Wei Cui, Xu Zhang:
Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization. 1590-1606 - Pratim Guha Niyogi, Martin A. Lindquist, Tapabrata Maiti:
A Tensor Based Varying-Coefficient Model for Multi-Modal Neuroimaging Data Analysis. 1607-1619 - Yutao Chen, Yuanbo Cheng, Ronghao Lin, Hing Cheung So, Jian Li:
Joint Design of Binary Probing Sequence Sets and Receive Filter Banks for MIMO PMCW Radar. 1620-1633 - Sergio Rozada, Santiago Paternain, Antonio G. Marques:
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. 1634-1649 - Luca Barbieri, Bernardo Camajori Tedeschini, Mattia Brambilla, Monica Nicoli:
Deep Learning-Based Cooperative LiDAR Sensing for Improved Vehicle Positioning. 1666-1682 - Jiawei Gao, Jiancun Fan, Shiyu Zhai, Gang Dai:
Message Passing Based Wireless Multipath SLAM With Continuous Measurements Correction. 1691-1705 - Zhuang Xie, Linlong Wu, Jiahua Zhu, Marco Lops, Xiaotao Huang, M. R. Bhavani Shankar:
RIS-Aided Radar for Target Detection: Clutter Region Analysis and Joint Active-Passive Design. 1706-1723 - Charles-Gérard Lucas, Gustavo Didier, Herwig Wendt, Patrice Abry:
Multivariate Selfsimilarity: Multiscale Eigen-Structures for Selfsimilarity Parameter Estimation. 1739-1749 - Hang Liu, Anna Scaglione, Hoi-To Wai:
Blind Graph Matching Using Graph Signals. 1766-1781 - Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis:
Deep Unfolding Transformers for Sparse Recovery of Video. 1782-1796 - Rémi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac:
A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models. 1797-1812 - Davide Baroli, Helmut Harbrecht, Michael D. Multerer:
Samplet Basis Pursuit: Multiresolution Scattered Data Approximation With Sparsity Constraints. 1813-1823 - Anubhab Ghosh, Antoine Honoré, Saikat Chatterjee:
DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup. 1824-1838 - Yajun Zeng, Jun Wang, Shaoming Wei, Jinping Sun, Peng Lei, Yvon Savaria, Chi Zhang:
Spatial Registration of Heterogeneous Sensors on Mobile Platforms. 1839-1853 - Samira Reihanian, Edward R. Dougherty, Amin Zollanvari:
Optimal Bayesian Regression With Vector Autoregressive Data Dependency. 1854-1864 - Jie Sun, Bo Shen, Lei Zou:
Ultimately Bounded State Estimation for Nonlinear Networked Systems With Constrained Average Bit Rate: A Buffer-Aided Strategy. 1865-1876 - Lorenzo Miretti, Renato Luís Garrido Cavalcante, Emil Björnson, Slawomir Stanczak:
UL-DL Duality for Cell-Free Massive MIMO With Per-AP Power and Information Constraints. 1750-1765 - Ruoyu Su, Zijun Gong, Cheng Li, Shuai Han:
High Accuracy AUV-Aided Underwater Localization: Far-Field Information Fusion Perspective. 1877-1891 - Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. 1892-1909 - Yicheng Li, Xinghua Sun:
Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction. 1910-1927 - Tomer Gafni, Kobi Cohen, Yonina C. Eldar:
Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation. 1928-1943 - Chengyu Xia, Huayan Guo, Haoyu Ma, Danny H. K. Tsang, Vincent K. N. Lau:
Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach. 1944-1959 - Fei Han, Xuanyu Cao, Yi Gong:
Decentralized Stochastic Optimization With Pairwise Constraints and Variance Reduction. 1960-1973 - Amit Milstein, Guy Revach, Haoran Deng, Hai Morgenstern, Nir Shlezinger:
Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading. 1974-1988 - Hyowon Kim, Ángel F. García-Fernández, Yu Ge, Yuxuan Xia, Lennart Svensson, Henk Wymeersch:
Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM. 1989-2005 - Yifan Wu, Michael B. Wakin, Peter Gerstoft:
Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. 2006-2020 - Bin Li, Nan Wu, Yik-Chung Wu:
Distributed Inference With Variational Message Passing in Gaussian Graphical Models: Tradeoffs in Message Schedules and Convergence Conditions. 2021-2035 - Wenyu Zhang, Florian Meyer:
Multisensor Multiobject Tracking With Improved Sampling Efficiency. 2036-2053 - Bin Wang, Jun Fang, Hongbin Li, Yonina C. Eldar:
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach. 2054-2072 - Ye Tian, Zhicheng Zhang, Wei Liu, Hua Chen, Gang Wang:
Source Enumeration Utilizing Adaptive Diagonal Loading and Linear Shrinkage Coefficients. 2073-2086 - Yuzi Yan, Yuan Shen:
Distributed Policy Gradient for Linear Quadratic Networked Control With Limited Communication Range. 2087-2100 - Tamara Alshammari, Chathuranga Weeraddana, Mehdi Bennis:
BayGO: Decentralized Bayesian Learning and Information-Aware Graph Optimization Framework. 2101-2116 - Mucyo Karemera, Lionel Voirol, Davide A. Cucci, Wenfei Chu, Roberto Molinari, Stéphane Guerrier:
Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors. 2117-2129 - Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability to Deformations of Manifold Filters and Manifold Neural Networks. 2130-2146 - Chen Cui, Paolo Banelli, Petar M. Djuric:
Topology Inference of Directed Graphs by Gaussian Processes With Sparsity Constraints. 2147-2159 - Zhihai Qu, Xiuxian Li, Li Li, Xinlei Yi:
Online Optimization Under Randomly Corrupted Attacks. 2160-2172 - Yuchen Zhang, Haiyang Zhang, Sa Xiao, Wanbin Tang, Yonina C. Eldar:
Near-Field Wideband Secure Communications: An Analog Beamfocusing Approach. 2173-2187 - Zhichun Yang, Fu-quan Xia, Kai Tu, Man-Chung Yue:
Variance Reduced Random Relaxed Projection Method for Constrained Finite-Sum Minimization Problems. 2188-2203