IEEE Transactions on Signal Processing最新文献

{"title":"An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data","authors":"Jiaojiao Zhang, Yizhao Fan, Yuqi Xu, Kun Yuan","doi":"10.1109/tsp.2026.3738791","DOIUrl":"https://doi.org/10.1109/tsp.2026.3738791","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"167 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149077893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Persymmetric MIG Detectors in Sample-Starved Scenarios","authors":"Xiaoqiang Hua, Erchuan Zhang, Jun Liu, Yongqiang Cheng, Danilo Orlando","doi":"10.1109/tsp.2026.3738797","DOIUrl":"https://doi.org/10.1109/tsp.2026.3738797","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"112 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149077886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Closed-Form Single-Array Integrated Localization and Sensing Solution Using Hybrid TOA/PDOA Estimates","authors":"Jiayan Yang, Fan Liu, Tingting Zhang","doi":"10.1109/tsp.2026.3733157","DOIUrl":"https://doi.org/10.1109/tsp.2026.3733157","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"35 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Slowly Time-Varying AP-AP Channels for Interference Mitigation in Dynamic TDD","authors":"Martin Andersson, Tung T. Vu, Pal Frenger, Jan Aslund, Erik G. Larsson","doi":"10.1109/tsp.2026.3733596","DOIUrl":"https://doi.org/10.1109/tsp.2026.3733596","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"18 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-Dimensional Huber Regression over Networks","authors":"Wenfu Xia, Quan Wei, Ziping Zhao","doi":"10.1109/tsp.2026.3719159","DOIUrl":"https://doi.org/10.1109/tsp.2026.3719159","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"19 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148633769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint Optimization of Topology and Frequency Increments with Distributed Frequency Diverse Array for Target Localization","authors":"Lan Lan, Kunkun Li, Fuyu Tao, Guisheng Liao, Hing Cheung So","doi":"10.1109/tsp.2026.3716115","DOIUrl":"https://doi.org/10.1109/tsp.2026.3716115","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"43 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148586972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"K-Means and Gaussian Mixture Models on Lie Groups: Application to Geometrical Clustering","authors":"Samy Labsir, Julien Lesouple, Jean-Yves Tourneret","doi":"10.1109/tsp.2026.3678342","DOIUrl":"https://doi.org/10.1109/tsp.2026.3678342","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"63 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147598975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Uplink Data Detection in Massive MIMO with 1-Bit ADCs: Analysis and Joint Detection","authors":"Amin Radbord, Italo Atzeni, Antti Tölli","doi":"10.1109/tsp.2026.3677779","DOIUrl":"https://doi.org/10.1109/tsp.2026.3677779","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"107 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147524213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sketched Column-based Matrix Approximation","authors":"Jeongmin Chae, Selin Bac, Usama Saleem, Shaama Mallikarjun Sharada, Urbashi Mitra","doi":"10.1109/tsp.2026.3677299","DOIUrl":"https://doi.org/10.1109/tsp.2026.3677299","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"10 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147507293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variance-Optimal Arm Selection: Misallocation Minimization and Best Arm Identification","authors":"Sabrina Khurshid;Gourab Ghatak;Mohammed Shahid Abdulla","doi":"10.1109/TSP.2026.3666223","DOIUrl":"10.1109/TSP.2026.3666223","url":null,"abstract":"This paper focuses on selecting the arm with the highest variance from a set of <inline-formula><tex-math>$ K $</tex-math></inline-formula> independent arms. Specifically, we focus on two settings: (i) misallocation minimization setting, that penalizes the number of pulls of suboptimal arms in terms of variance, and (ii) fixed-budget best arm identification setting, that evaluates the ability of an algorithm to determine the arm with the highest variance after a fixed number of pulls. We develop a novel online algorithm called <monospace>UCB-VV</monospace> for the misallocation minimization (MM) and show that its upper bound on misallocation for bounded rewards evolves as <inline-formula><tex-math>$mathcal{O}left(log{n}right)$</tex-math></inline-formula> where <inline-formula><tex-math>$ n $</tex-math></inline-formula> is the horizon. By deriving the lower bound on the misallocation, we show that <monospace>UCB-VV</monospace> is order optimal. For the fixed budget best arm identification (BAI) setting we propose the <monospace>SHVV</monospace> algorithm. We show that the upper bound of the error probability of <monospace>SHVV</monospace> evolves as <inline-formula><tex-math>$expleft(-frac{n}{log(K)H}right)$</tex-math></inline-formula>, where <inline-formula><tex-math>$ H $</tex-math></inline-formula> represents the complexity of the problem, and this rate matches the corresponding lower bound. We extend the framework from bounded distributions to sub-Gaussian distributions using a novel concentration inequality on the sample variance and standard deviation. Leveraging the same, we derive a concentration inequality for the empirical Sharpe ratio (SR) for sub-Gaussian distributions, which was previously unknown in the literature. Empirical simulations show that <monospace>UCB-VV</monospace> consistently outperforms <inline-formula><tex-math>$epsilon$</tex-math></inline-formula> <monospace>-greedy</monospace> across different sub-optimality gaps though it is surpassed by <monospace>VTS</monospace>, which exhibits the lowest misallocation, albeit lacking in theoretical guarantees. We also illustrate the superior performance of <monospace>SHVV</monospace>, for a fixed budget setting under 6 different setups against uniform sampling. Finally, we conduct a case study to empirically evaluate the performance of the <monospace>UCB-VV</monospace> and <monospace>SHVV</monospace> in call option trading on 100 stocks generated using geometric Brownian motion (GBM).","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"815-829"},"PeriodicalIF":5.8,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147279888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}