Pub Date : 2024-01-01DOI: 10.1109/MSP.2023.3330538
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
提供从业人员和研究人员感兴趣的社会信息，包括新闻、评论或技术说明。
{"title":"SPS Announces the 2024 Class of Distinguished Lecturers and Distinguished Industry Speakers [Society News]","authors":"","doi":"10.1109/MSP.2023.3330538","DOIUrl":"https://doi.org/10.1109/MSP.2023.3330538","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":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10502200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559302","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 : 2024-01-01DOI: 10.1109/MSP.2024.3356198
ZhenZhou Wang
In recent years, noncontact 3D surface imaging techniques have made great progress due to advances in optical devices and image processing. The single-shot technique is essential for 3D surface imaging techniques to accurately calculate the 3D shape information of the irreversible transient surfaces in the high-speed dynamic scene. In this tutorial, we provide a review of recent advances in existing single-shot 3D surface imaging techniques. The recent advances in single-shot 3D surface imaging techniques lie in the abundant emergence of new methods, the increased measurement resolution, and the increased measurement accuracy. We particularly focus on the single-shot 3D surface imaging techniques that are based on structured light (SL) coding.
{"title":"A Tutorial on Single-Shot 3D Surface Imaging Techniques [Lecture Notes]","authors":"ZhenZhou Wang","doi":"10.1109/MSP.2024.3356198","DOIUrl":"https://doi.org/10.1109/MSP.2024.3356198","url":null,"abstract":"In recent years, noncontact 3D surface imaging techniques have made great progress due to advances in optical devices and image processing. The single-shot technique is essential for 3D surface imaging techniques to accurately calculate the 3D shape information of the irreversible transient surfaces in the high-speed dynamic scene. In this tutorial, we provide a review of recent advances in existing single-shot 3D surface imaging techniques. The recent advances in single-shot 3D surface imaging techniques lie in the abundant emergence of new methods, the increased measurement resolution, and the increased measurement accuracy. We particularly focus on the single-shot 3D surface imaging techniques that are based on structured light (SL) coding.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559413","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 : 2024-01-01DOI: 10.1109/MSP.2023.3324472
K. J. Ray Liu;Beibei Wang
Time reversal is a physical principle well known for its deterministic focusing effect. Recently discovered statistical effects show that the time reversal focusing spot is not a point but has a Bessel power distribution. This finding offers accurate and reliable speed estimation indoors, where multipaths are abundant, with mostly nonline-of-sight (NLOS) conditions, and enable various indoor applications, such as wireless sensing and tracking. No known techniques can thrive in such scenarios. In essence, time reversal is an effective tool that embraces multipaths as virtual sensors with hundreds of thousands of degrees of freedom for our utilization.
{"title":"Statistical Principles of Time Reversal [Perspectives]","authors":"K. J. Ray Liu;Beibei Wang","doi":"10.1109/MSP.2023.3324472","DOIUrl":"https://doi.org/10.1109/MSP.2023.3324472","url":null,"abstract":"Time reversal is a physical principle well known for its deterministic focusing effect. Recently discovered statistical effects show that the time reversal focusing spot is not a point but has a Bessel power distribution. This finding offers accurate and reliable speed estimation indoors, where multipaths are abundant, with mostly nonline-of-sight (NLOS) conditions, and enable various indoor applications, such as wireless sensing and tracking. No known techniques can thrive in such scenarios. In essence, time reversal is an effective tool that embraces multipaths as virtual sensors with hundreds of thousands of degrees of freedom for our utilization.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559335","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 : 2024-01-01DOI: 10.1109/MSP.2024.3358284
Yihua Zhang;Prashant Khanduri;Ioannis Tsaknakis;Yuguang Yao;Mingyi Hong;Sijia Liu
Recently, bilevel optimization (BLO) has taken center stage in some very exciting developments in the area of signal processing (SP) and machine learning (ML). Roughly speaking, BLO is a classical optimization problem that involves two levels of hierarchy (i.e., upper and lower levels), wherein obtaining the solution to the upper-level problem requires solving the lower-level one. BLO has become popular largely because it is powerful in modeling problems in SP and ML, among others, that involve optimizing nested objective functions. Prominent applications of BLO range from resource allocation for wireless systems to adversarial ML. In this work, we focus on a class of tractable BLO problems that often appear in SP and ML applications. We provide an overview of some basic concepts of this class of BLO problems, such as their optimality conditions, standard algorithms (including their optimization principles and practical implementations) as well as how they can be leveraged to obtain state-of-the-art results for several key SP and ML applications. Further, we discuss some recent advances in BLO theory and its implications for applications, and we point out some limitations of the state of the art that require significant future research efforts. We hope that this article, together with the associated open source BLO toolbox we developed for algorithm benchmarking, can serve to accelerate the adoption of BLO as a generic tool to model, analyze, and innovate on a wide array of emerging SP and ML applications.
最近，双层优化（BLO）在信号处理（SP）和机器学习（ML）领域的一些激动人心的发展中占据了中心位置。粗略地说，BLO 是一种经典的优化问题，涉及两个层次（即上层和下层），要获得上层问题的解决方案，就必须解决下层问题。BLO 之所以流行，主要是因为它在 SP 和 ML 等涉及优化嵌套目标函数的建模问题中非常强大。BLO 的主要应用范围包括无线系统的资源分配和对抗式 ML。在这项工作中，我们将重点关注 SP 和 ML 应用中经常出现的一类可处理的 BLO 问题。我们概述了这一类 BLO 问题的一些基本概念，如它们的最优性条件、标准算法（包括它们的优化原理和实际实现），以及如何利用它们为几个关键的 SP 和 ML 应用获得最先进的结果。此外，我们还讨论了 BLO 理论的一些最新进展及其对应用的影响，并指出了当前技术水平的一些局限性，这些局限性要求我们在未来开展大量研究工作。我们希望这篇文章以及我们为算法基准测试而开发的相关开源 BLO 工具箱，能够有助于加快 BLO 作为通用工具的应用，从而对大量新兴的 SP 和 ML 应用进行建模、分析和创新。
{"title":"An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning","authors":"Yihua Zhang;Prashant Khanduri;Ioannis Tsaknakis;Yuguang Yao;Mingyi Hong;Sijia Liu","doi":"10.1109/MSP.2024.3358284","DOIUrl":"https://doi.org/10.1109/MSP.2024.3358284","url":null,"abstract":"Recently, bilevel optimization (BLO) has taken center stage in some very exciting developments in the area of signal processing (SP) and machine learning (ML). Roughly speaking, BLO is a classical optimization problem that involves two levels of hierarchy (i.e., upper and lower levels), wherein obtaining the solution to the upper-level problem requires solving the lower-level one. BLO has become popular largely because it is powerful in modeling problems in SP and ML, among others, that involve optimizing nested objective functions. Prominent applications of BLO range from resource allocation for wireless systems to adversarial ML. In this work, we focus on a class of tractable BLO problems that often appear in SP and ML applications. We provide an overview of some basic concepts of this class of BLO problems, such as their optimality conditions, standard algorithms (including their optimization principles and practical implementations) as well as how they can be leveraged to obtain state-of-the-art results for several key SP and ML applications. Further, we discuss some recent advances in BLO theory and its implications for applications, and we point out some limitations of the state of the art that require significant future research efforts. We hope that this article, together with the associated open source BLO toolbox we developed for algorithm benchmarking, can serve to accelerate the adoption of BLO as a generic tool to model, analyze, and innovate on a wide array of emerging SP and ML applications.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559307","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 : 2024-01-01DOI: 10.1109/MSP.2024.3374569
Min Wu
The opportunity to write this column as the president of the IEEE Signal Processing Society (SPS) was far beyond my imagination when I first joined the SPS as a graduate student member in the 1990s. Career growth through the eyes of an SPS student member was a long journey filled with uncertainty. And at that time, SPS had few female or Asian leaders to model. Like many of you, I started by joining the tens of thousands of loyal readers of IEEE Signal Processing Magazine ( SPM ) and became engaged as a volunteer with the SPS and IEEE in an effort to learn and grow.
{"title":"Learning From the Hidden Letters [President’s Message]","authors":"Min Wu","doi":"10.1109/MSP.2024.3374569","DOIUrl":"https://doi.org/10.1109/MSP.2024.3374569","url":null,"abstract":"The opportunity to write this column as the president of the IEEE Signal Processing Society (SPS) was far beyond my imagination when I first joined the SPS as a graduate student member in the 1990s. Career growth through the eyes of an SPS student member was a long journey filled with uncertainty. And at that time, SPS had few female or Asian leaders to model. Like many of you, I started by joining the tens of thousands of loyal readers of \u0000<italic>IEEE Signal Processing Magazine</i>\u0000 (\u0000<italic>SPM</i>\u0000) and became engaged as a volunteer with the SPS and IEEE in an effort to learn and grow.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10502159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559308","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 : 2024-01-01DOI: 10.1109/MSP.2024.3360955
Ana I. Pérez-Neira
The research landscape is evolving very dynamically. This column reflects on it from a conference viewpoint and focuses on the importance of creating a more sustainable culture for the conference portfolio that the IEEE Signal Processing Society (SPS) offers. Among the different considerations, the role that virtual conferences can play is highlighted.
{"title":"Going for Sustainable Conferences [Perspectives]","authors":"Ana I. Pérez-Neira","doi":"10.1109/MSP.2024.3360955","DOIUrl":"https://doi.org/10.1109/MSP.2024.3360955","url":null,"abstract":"The research landscape is evolving very dynamically. This column reflects on it from a conference viewpoint and focuses on the importance of creating a more sustainable culture for the conference portfolio that the IEEE Signal Processing Society (SPS) offers. Among the different considerations, the role that virtual conferences can play is highlighted.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559310","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 : 2024-01-01DOI: 10.1109/MSP.2024.3382167
{"title":"TECH RXIV: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/MSP.2024.3382167","DOIUrl":"https://doi.org/10.1109/MSP.2024.3382167","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10502219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559278","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 : 2024-01-01DOI: 10.1109/MSP.2024.3367229
José M. F. Moura
The year 2023 marked the 75th anniversary of the IEEE Signal Processing Society (SPS), which was founded in 1948 as the “Professional Group on Audio” of the Institute of Radio Engineers (IRE), becoming the first IEEE Society. (The IRE, founded in 1912 with a focus on radio and then electronics, together with the American Institute of Electrical Engineers, founded in 1884 with an emphasis on power and utilities, were united in 1963 to form IEEE.) At ICASSP 2023, in Rhodes, Greece, I chaired a panel with Alex Acero of Apple, K. J. Ray Liu of Origin Wireless, Ali H. Sayed of EPFL, and Rabab K. Ward of the University of British Columbia that discussed the future of signal processing (SP) with a focus on the relations between artificial intelligence (AI) and machine learning (ML) and SP. Ours followed a panel chaired by Mos Kaveh, University of Minnesota, with Anthony Constantinides, Imperial College London, Alan Oppenheim, Massachusetts Institute of Technology, and Ron Schafer, Georgia Tech, as panelists who reminisced on the origins of SP.
2023 年是 IEEE 信号处理学会（SPS）成立 75 周年，该学会成立于 1948 年，当时是无线电工程师学会（IRE）的 "音频专业组"，成为第一个 IEEE 学会。(无线电工程师学会成立于 1912 年，主要研究无线电和电子技术，美国电气工程师学会成立于 1884 年，主要研究电力和公用事业，两者于 1963 年联合成立了 IEEE）。在希腊罗得岛举行的 ICASSP 2023 大会上，我与苹果公司的 Alex Acero、Origin Wireless 公司的 K. J. Ray Liu、EPFL 的 Ali H. Sayed 以及 Rabin B. M. K. R. B. R. 等人共同主持了一个专题讨论会。Sayed 以及英属哥伦比亚大学的 Rabab K. Ward 共同讨论了信号处理（SP）的未来，重点是人工智能（AI）和机器学习（ML）与信号处理的关系。在明尼苏达大学的 Mos Kaveh 主持的小组讨论之后，伦敦帝国理工学院的 Anthony Constantinides、麻省理工学院的 Alan Oppenheim 和佐治亚理工学院的 Ron Schafer 作为小组成员回忆了 SP 的起源。
{"title":"Signal Processing at 75: More Dynamic and Pervasive Than Ever [Perspectives]","authors":"José M. F. Moura","doi":"10.1109/MSP.2024.3367229","DOIUrl":"https://doi.org/10.1109/MSP.2024.3367229","url":null,"abstract":"The year 2023 marked the 75th anniversary of the IEEE Signal Processing Society (SPS), which was founded in 1948 as the “Professional Group on Audio” of the Institute of Radio Engineers (IRE), becoming the first IEEE Society. (The IRE, founded in 1912 with a focus on radio and then electronics, together with the American Institute of Electrical Engineers, founded in 1884 with an emphasis on power and utilities, were united in 1963 to form IEEE.) At ICASSP 2023, in Rhodes, Greece, I chaired a panel with Alex Acero of Apple, K. J. Ray Liu of Origin Wireless, Ali H. Sayed of EPFL, and Rabab K. Ward of the University of British Columbia that discussed the future of signal processing (SP) with a focus on the relations between artificial intelligence (AI) and machine learning (ML) and SP. Ours followed a panel chaired by Mos Kaveh, University of Minnesota, with Anthony Constantinides, Imperial College London, Alan Oppenheim, Massachusetts Institute of Technology, and Ron Schafer, Georgia Tech, as panelists who reminisced on the origins of SP.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":null,"pages":null},"PeriodicalIF":14.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559279","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：