{"title":"Achieving Full Multipath Diversity by Random Constellation Rotation: a Theoretical Perspective","authors":"Xuehan Wang, Jinhong Yuan, Jintao Wang, Kehan Huang","doi":"10.1109/tsp.2026.3657038","DOIUrl":"https://doi.org/10.1109/tsp.2026.3657038","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"7 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043158","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}
Pub Date : 2026-01-21DOI: 10.1109/tsp.2026.3656569
Saidur R. Pavel, Yimin D. Zhang, Shunqiao Sun
{"title":"2D DOA Estimation of Coherent Signals Exploiting Forward-Backward Covariance Tensor","authors":"Saidur R. Pavel, Yimin D. Zhang, Shunqiao Sun","doi":"10.1109/tsp.2026.3656569","DOIUrl":"https://doi.org/10.1109/tsp.2026.3656569","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"274 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042759","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}
Pub Date : 2026-01-21DOI: 10.1109/tsp.2026.3656332
Hansi Abeynanda, Chathuranga Weeraddana, Carlo Fischione
{"title":"On the Characteristics of the Conjugate Function Enabling Effective Dual Decomposition Methods","authors":"Hansi Abeynanda, Chathuranga Weeraddana, Carlo Fischione","doi":"10.1109/tsp.2026.3656332","DOIUrl":"https://doi.org/10.1109/tsp.2026.3656332","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"85 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042760","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}
Pub Date : 2026-01-21DOI: 10.1109/TSP.2026.3656662
Chengxi Li;Ming Xiao;Mikael Skoglund
Communication bottlenecks and the presence of stragglers pose significant challenges in distributed learning (DL). To deal with these challenges, recent advances leverage unbiased compression functions and gradient coding. However, the significant benefits of biased compression remain largely unexplored. To close this gap, we propose Compressed Gradient Coding with Error Feedback (COCO-EF), a novel DL method that combines gradient coding with biased compression to mitigate straggler effects and reduce communication costs. In each iteration, non-straggler devices encode local gradients from redundantly allocated training data, incorporate prior compression errors, and compress the results using biased compression functions before transmission. The server aggregates these compressed messages from the non-stragglers to approximate the global gradient for model updates. We provide rigorous theoretical convergence guarantees for COCO-EF and validate its superior learning performance over baseline methods through empirical evaluations. As far as we know, we are among the first to rigorously demonstrate that biased compression has substantial benefits in DL, when gradient coding is employed to cope with stragglers.
{"title":"Biased Compression in Gradient Coding for Distributed Learning","authors":"Chengxi Li;Ming Xiao;Mikael Skoglund","doi":"10.1109/TSP.2026.3656662","DOIUrl":"10.1109/TSP.2026.3656662","url":null,"abstract":"Communication bottlenecks and the presence of stragglers pose significant challenges in distributed learning (DL). To deal with these challenges, recent advances leverage unbiased compression functions and gradient coding. However, the significant benefits of biased compression remain largely unexplored. To close this gap, we propose <bold>Co</b>mpressed Gradient <bold>Co</b>ding with <bold>E</b>rror <bold>F</b>eedback (COCO-EF), a novel DL method that combines gradient coding with biased compression to mitigate straggler effects and reduce communication costs. In each iteration, non-straggler devices encode local gradients from redundantly allocated training data, incorporate prior compression errors, and compress the results using biased compression functions before transmission. The server aggregates these compressed messages from the non-stragglers to approximate the global gradient for model updates. We provide rigorous theoretical convergence guarantees for COCO-EF and validate its superior learning performance over baseline methods through empirical evaluations. As far as we know, we are among the first to rigorously demonstrate that biased compression has substantial benefits in DL, when gradient coding is employed to cope with stragglers.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"514-530"},"PeriodicalIF":5.8,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042758","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}
Pub Date : 2026-01-21DOI: 10.1109/tsp.2026.3655921
Hongyu Han, Sheng Zhang, Hing Cheung So
{"title":"Privacy-Preserving Distributed Adaptive Filtering via Input Perturbation and Amplitude-Shifted Data Exchange over Networks","authors":"Hongyu Han, Sheng Zhang, Hing Cheung So","doi":"10.1109/tsp.2026.3655921","DOIUrl":"https://doi.org/10.1109/tsp.2026.3655921","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"117 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042757","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}
Pub Date : 2026-01-21DOI: 10.1109/tsp.2026.3656668
Chengen Liu, Victor M. Tenorio, Antonio G. Marques, Elvin Isufi
{"title":"Matched Topological Subspace Detector","authors":"Chengen Liu, Victor M. Tenorio, Antonio G. Marques, Elvin Isufi","doi":"10.1109/tsp.2026.3656668","DOIUrl":"https://doi.org/10.1109/tsp.2026.3656668","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"395 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042756","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}
Pub Date : 2026-01-20DOI: 10.1109/tsp.2026.3655839
Siddhartha Parupudi, Gourab Ghatak
{"title":"An Algorithm for Fixed Budget Best Arm Identification with Combinatorial Exploration","authors":"Siddhartha Parupudi, Gourab Ghatak","doi":"10.1109/tsp.2026.3655839","DOIUrl":"https://doi.org/10.1109/tsp.2026.3655839","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"24 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042772","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}
Pub Date : 2026-01-16DOI: 10.1109/tsp.2026.3654842
Xiaohuan Wu, Jin Qiu, Ji Sun, Wei Liu, Haiyang Zhang, Yonina C. Eldar
{"title":"Source Localization for Extremely Large-Scale Antenna Arrays under Spatial Non-Stationarity and Near-Field Effects","authors":"Xiaohuan Wu, Jin Qiu, Ji Sun, Wei Liu, Haiyang Zhang, Yonina C. Eldar","doi":"10.1109/tsp.2026.3654842","DOIUrl":"https://doi.org/10.1109/tsp.2026.3654842","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"1 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993254","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}
Pub Date : 2026-01-15DOI: 10.1109/tsp.2025.3648327
Xi Wang, Yang Liu, Xiaotong Zhao, Qingjiang Shi, Ye Yang
{"title":"On Stochastic Beamforming for Ergodic Sum-Rate Maximization in Cooperative Transmission Systems","authors":"Xi Wang, Yang Liu, Xiaotong Zhao, Qingjiang Shi, Ye Yang","doi":"10.1109/tsp.2025.3648327","DOIUrl":"https://doi.org/10.1109/tsp.2025.3648327","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"39 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972096","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}
Pub Date : 2026-01-14DOI: 10.1109/tsp.2026.3654026
Shaoxiu Wei, Mingchao Liang, Florian Meyer
{"title":"Bayesian Multiobject Tracking With Neural-Enhanced Motion and Measurement Models","authors":"Shaoxiu Wei, Mingchao Liang, Florian Meyer","doi":"10.1109/tsp.2026.3654026","DOIUrl":"https://doi.org/10.1109/tsp.2026.3654026","url":null,"abstract":"","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"60 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972166","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}
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