Pub Date : 2025-11-21DOI: 10.1109/MSP.2025.3615296
Maria Giulia Preti;Dimitri Van De Ville;Enrico Amico
The 17th-century physician Marcello Malpighi observed the existence of distinctive patterns of ridges and sweat glands on fingertips, catalyzing its widespread use in forensics, but also, more generally, inspiring research to develop ways to identify individuals based on unique biological characteristics. Today, this concept has expanded vastly into diverse data, and the term biometrics has been introduced to encompass all methods of automated human recognition, such as fingerprint, face, iris, retina, and voice analysis. More recently, neuroimaging data have been explored for this purpose, giving rise to the concept of “brain fingerprints,” derived from patterns of functional networks. This perspective challenges the classical view of neuroimaging analysis, which treats individuals as repeated measures of a population-level effect, where interindividual differences are considered noise rather than signal. In contrast, intersubject variability here represents the key feature in the data allowing the unique representation and identification of an individual. This marks a paradigm shift that has sparked a wave of new interdisciplinary research, branching from neuroscience to machine learning and signal processing.
{"title":"Brain Fingerprinting: A signal processing perspective","authors":"Maria Giulia Preti;Dimitri Van De Ville;Enrico Amico","doi":"10.1109/MSP.2025.3615296","DOIUrl":"https://doi.org/10.1109/MSP.2025.3615296","url":null,"abstract":"The 17th-century physician Marcello Malpighi observed the existence of distinctive patterns of ridges and sweat glands on fingertips, catalyzing its widespread use in forensics, but also, more generally, inspiring research to develop ways to identify individuals based on unique biological characteristics. Today, this concept has expanded vastly into diverse data, and the term <italic>biometrics</i> has been introduced to encompass all methods of automated human recognition, such as fingerprint, face, iris, retina, and voice analysis. More recently, neuroimaging data have been explored for this purpose, giving rise to the concept of “brain fingerprints,” derived from patterns of functional networks. This perspective challenges the classical view of neuroimaging analysis, which treats individuals as repeated measures of a population-level effect, where interindividual differences are considered noise rather than signal. In contrast, intersubject variability here represents the key feature in the data allowing the unique representation and identification of an individual. This marks a paradigm shift that has sparked a wave of new interdisciplinary research, branching from neuroscience to machine learning and signal processing.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 4","pages":"91-102"},"PeriodicalIF":9.6,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145560712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2025-11-21DOI: 10.1109/MSP.2025.3624644
Tülay Adali
{"title":"On Meaningful and Multidimensional Comparisons in Our Publications And Relevance to Practice/Industry","authors":"Tülay Adali","doi":"10.1109/MSP.2025.3624644","DOIUrl":"https://doi.org/10.1109/MSP.2025.3624644","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 4","pages":"3-4"},"PeriodicalIF":9.6,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11263964","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145560721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-17DOI: 10.1109/MSP.2025.3590608
Chicago Y. Park;Michael T. McCann;Cristina Garcia-Cardona;Brendt Wohlberg;Ulugbek S. Kamilov
{"title":"Random Walks With Tweedie: A Unified View of Score-Based Diffusion Models [In the Spotlight]","authors":"Chicago Y. Park;Michael T. McCann;Cristina Garcia-Cardona;Brendt Wohlberg;Ulugbek S. Kamilov","doi":"10.1109/MSP.2025.3590608","DOIUrl":"https://doi.org/10.1109/MSP.2025.3590608","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 3","pages":"40-51"},"PeriodicalIF":9.6,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11168126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-16DOI: 10.1109/MSP.2025.3572424
Unnikrishna Pillai;Lijia Jiang
{"title":"The Effects of Nonlinearity and Time Dependency on Solutions to Physical Systems [Lecture Notes]","authors":"Unnikrishna Pillai;Lijia Jiang","doi":"10.1109/MSP.2025.3572424","DOIUrl":"10.1109/MSP.2025.3572424","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 3","pages":"111-120"},"PeriodicalIF":9.6,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11164802","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-16DOI: 10.1109/MSP.2025.3544185
Sin-Wei Chiu;Keshab K. Parhi
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
提供社会信息，可能包括新闻，评论或技术笔记，从业者和研究人员应该感兴趣。
{"title":"On Computing Linear, Positive-Wrapped (Circular), and Negative-Wrapped Convolutions in the Frequency Domain [Tips & Tricks]","authors":"Sin-Wei Chiu;Keshab K. Parhi","doi":"10.1109/MSP.2025.3544185","DOIUrl":"10.1109/MSP.2025.3544185","url":null,"abstract":"Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 3","pages":"77-82"},"PeriodicalIF":9.6,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11165021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-16DOI: 10.1109/MSP.2025.3596881
V John Mathews;K. V. S. Hari
{"title":"ICASSP@50: A Recap [Conference Highlights]","authors":"V John Mathews;K. V. S. Hari","doi":"10.1109/MSP.2025.3596881","DOIUrl":"10.1109/MSP.2025.3596881","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 3","pages":"5-12"},"PeriodicalIF":9.6,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11164671","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-16DOI: 10.1109/MSP.2025.3557958
Kaiming Shen;Wei Yu
Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because many key metrics in these fields are fractionally structured, e.g., the signal-to-interference-plus-noise ratio (SINR) in wireless communications, the Cramér-Rao bound (CRB) in radar sensing, the normalized cut in graph clustering, and the margin in support vector machine (SVM). This article provides a comprehensive review of both the theory and applications of a recently developed FP technique known as the quadratic transform, which can be applied to a wide variety of FP problems, including both the minimization and the maximization of the sum of functions of ratios as well as matrix-ratio problems.
{"title":"Quadratic Transform for Fractional Programming in Signal Processing and Machine Learning: A unified approach for solving optimization problems involving ratios","authors":"Kaiming Shen;Wei Yu","doi":"10.1109/MSP.2025.3557958","DOIUrl":"10.1109/MSP.2025.3557958","url":null,"abstract":"Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because many key metrics in these fields are fractionally structured, e.g., the signal-to-interference-plus-noise ratio (SINR) in wireless communications, the Cramér-Rao bound (CRB) in radar sensing, the normalized cut in graph clustering, and the margin in support vector machine (SVM). This article provides a comprehensive review of both the theory and applications of a recently developed FP technique known as the <italic>quadratic transform</i>, which can be applied to a wide variety of FP problems, including both the minimization and the maximization of the sum of functions of ratios as well as matrix-ratio problems.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 3","pages":"14-34"},"PeriodicalIF":9.6,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2025-09-16DOI: 10.1109/MSP.2025.3591234
Kostas Plataniotis
{"title":"The IEEE Signal Processing Society Industry Board: Building Bridges for Our Professional Future [President’s Message]","authors":"Kostas Plataniotis","doi":"10.1109/MSP.2025.3591234","DOIUrl":"10.1109/MSP.2025.3591234","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 3","pages":"3-4"},"PeriodicalIF":9.6,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11165024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-16DOI: 10.1109/MSP.2025.3565479
Emre Can Acikgoz;Dilek Hakkani-Tür;Gokhan Tur
{"title":"Conversational Agents in the Era of Large Language Models [Perspectives]","authors":"Emre Can Acikgoz;Dilek Hakkani-Tür;Gokhan Tur","doi":"10.1109/MSP.2025.3565479","DOIUrl":"10.1109/MSP.2025.3565479","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"42 3","pages":"35-39"},"PeriodicalIF":9.6,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11165061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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