发布求助
文献互助 智能选刊 最新文献

IEEE Signal Processing Magazine最新文献

筛选
英文 中文
Today’s Rapidly Evolving Education Landscape: Challenges and Opportunities [From the Editor] 当今快速发展的教育环境：挑战与机遇 [编者的话］
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3404210
Tülay Adali
{"title":"Today’s Rapidly Evolving Education Landscape: Challenges and Opportunities [From the Editor]","authors":"Tülay Adali","doi":"10.1109/MSP.2024.3404210","DOIUrl":"https://doi.org/10.1109/MSP.2024.3404210","url":null,"abstract":"For reasons beyond our control, the issues of \u0000<italic>IEEE Signal Processing Magazine</i>\u0000 arrive to you with delays this year. As you receive the current March issue, we are back from another edition of our flagship conference, the IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), which took place in Seoul, Korea, 14–19 April 2024. It was successful and vibrant, and, with 4,432 attendees and 2,826 accepted papers (out of 5,896 submitted), it was bigger than ever. At the risk of being labeled a grumpy Muppet, I will note that ICASSPs are now a tad too big for me, as I often found myself at a loss trying to choose among a seemingly endless number of attractive sessions and events at any given time. Of course, we still have our workshops, which are intimate and focused, and a number of them are even single tracks.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"3-5"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10558746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326321","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}
引用次数: 0
Hypercomplex Techniques in Signal and Image Processing Using Network Graph Theory: Identifying core research directions [Hypercomplex Signal and Image Processing] 利用网络图论的超复杂信号和图像处理技术：确定核心研究方向 [超复杂信号和图像处理］
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3365463
Alfredo Alcayde;Jorge Ventura;Francisco G. Montoya
{"title":"Hypercomplex Techniques in Signal and Image Processing Using Network Graph Theory: Identifying core research directions [Hypercomplex Signal and Image Processing]","authors":"Alfredo Alcayde;Jorge Ventura;Francisco G. Montoya","doi":"10.1109/MSP.2024.3365463","DOIUrl":"https://doi.org/10.1109/MSP.2024.3365463","url":null,"abstract":"This article aims to identify core research directions and provide a comprehensive overview of major advancements in the field of hypercomplex signal and image processing techniques using network graph theory. The methodology employs community detection algorithms on research networks to uncover relationships among researchers and topic fields in the hypercomplex domain. This is accomplished through a comprehensive academic database search and metadata analysis from pertinent papers. The article focuses on the utility of these techniques in various applications and the value of mathematically rich frameworks. The results demonstrate how optimized network-based approaches can determine common topics and emerging lines of research. The article identifies distinct core research directions, including significant advancements in image/video processing, computer vision, signal processing, security, navigation, and machine learning within the hypercomplex domain. Current trends, challenges, opportunities, and the most promising directions in hypercomplex signal and image processing are highlighted based on a thorough literature analysis. This provides actionable insights for researchers to advance this domain.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"14-28"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326385","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}
引用次数: 0
Calendar [Dates Ahead] 日历 [日期在前]
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3396688
{"title":"Calendar [Dates Ahead]","authors":"","doi":"10.1109/MSP.2024.3396688","DOIUrl":"https://doi.org/10.1109/MSP.2024.3396688","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"104-104"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10558753","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326280","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}
引用次数: 0
IEEE Foundation filler 电气和电子工程师学会基金会填料
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3410068
{"title":"IEEE Foundation filler","authors":"","doi":"10.1109/MSP.2024.3410068","DOIUrl":"https://doi.org/10.1109/MSP.2024.3410068","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"102-102"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10558739","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326283","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}
引用次数: 0
SPS Technical Committee SPS 技术委员会
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3411230
{"title":"SPS Technical Committee","authors":"","doi":"10.1109/MSP.2024.3411230","DOIUrl":"https://doi.org/10.1109/MSP.2024.3411230","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"C3-C3"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10558745","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326319","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}
引用次数: 0
Widely Linear Adaptive Filtering Based on Clifford Geometric Algebra: A unified framework [Hypercomplex Signal and Image Processing] 基于克利福德几何代数的宽线性自适应滤波：统一框架 [超复杂信号与图像处理］
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3379732
Wenyuan Wang;Kutluyil Doğançay
{"title":"Widely Linear Adaptive Filtering Based on Clifford Geometric Algebra: A unified framework [Hypercomplex Signal and Image Processing]","authors":"Wenyuan Wang;Kutluyil Doğançay","doi":"10.1109/MSP.2024.3379732","DOIUrl":"https://doi.org/10.1109/MSP.2024.3379732","url":null,"abstract":"In this article, we present a powerful unifying framework for widely linear (WL) adaptive filters building on the concept of geometric algebra (GA), including recently proposed complex-valued (CV), quaternion-valued, and GA WL adaptive filters (WLAFs). We also consider and review WL adaptive filtering methods that feature robustness against impulsive noise, noisy input measurements, partial coefficient updates, subband structures, censoring, and composite structures under the unified framework. Furthermore, we propose innovative WL adaptive filtering algorithms for functional link polynomial (FLP) nonlinear filters, infinite-impulse response (IIR) systems, and kernel-based nonlinear system identification, showcasing the advantages of the unified framework. The article also investigates the relationship among WLAFs, graph filters, and Cayley–Dickson (CD)-valued adaptive filters, offering new insights into how the unified framework can be extended to graph signals and CD numbers. Finally, the article motivates future work on WL adaptive filtering based on GA and its special cases.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"86-101"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326256","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}
引用次数: 0
Geometric Algebra Quantum Convolutional Neural Network: A model using geometric (Clifford) algebras and quantum computing [Hypercomplex Signal and Image Processing] 几何代数量子卷积神经网络：使用几何（克利福德）代数和量子计算的模型[超复杂信号和图像处理］
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3369015
Guillermo Altamirano-Escobedo;Eduardo Bayro-Corrochano
{"title":"Geometric Algebra Quantum Convolutional Neural Network: A model using geometric (Clifford) algebras and quantum computing [Hypercomplex Signal and Image Processing]","authors":"Guillermo Altamirano-Escobedo;Eduardo Bayro-Corrochano","doi":"10.1109/MSP.2024.3369015","DOIUrl":"https://doi.org/10.1109/MSP.2024.3369015","url":null,"abstract":"A hybrid model called the \u0000<italic>geometric (Clifford) quanvolutional neural network</i>\u0000 (\u0000<italic>GQNN</i>\u0000) that merges elements of geometric (Clifford) convolutional neural networks (GCNNs) and variational quantum circuits (VQCs) is presented. In this model, a randomized quantum convolution operation is applied to the input image, giving as a result four output channels, which are treated as a single entity (quaternion image) by the subsequent quaternion layers. This approach is extended to Clifford algebras by choosing the number of qubits of the quantum circuit according to the dimension of the Clifford algebra so that the resulting output channels are regarded as the components of a multivector image to be further processed by Clifford layers.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"75-85"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326299","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}
引用次数: 0
Split-Quaternions for Perceptual White Balance: A quantum information-based chromatic adaptation transform [Hypercomplex Signal and Image Processing] 用于感知白平衡的分裂四元数：基于量子信息的色度适应变换[超复杂信号与图像处理］
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3349460
Michel Berthier;Nicoletta Prencipe;Edoardo Provenzi
{"title":"Split-Quaternions for Perceptual White Balance: A quantum information-based chromatic adaptation transform [Hypercomplex Signal and Image Processing]","authors":"Michel Berthier;Nicoletta Prencipe;Edoardo Provenzi","doi":"10.1109/MSP.2024.3349460","DOIUrl":"https://doi.org/10.1109/MSP.2024.3349460","url":null,"abstract":"We propose a perceptual chromatic adaptation transform (CAT) for white balance that makes use of split-quaternions. The novelty of the present work, which is motivated by a recently developed quantumlike model of color perception, consists of stressing the link between the algebraic structures appearing in this model and a certain subalgebra of the split-quaternions. We show the potential of this approach for color image processing applications by proposing a CAT implemented via an appropriate use of the split-quaternion multiplication. Moreover, quantitative comparisons with the widely used state-of-the art von Kries CAT are provided.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"42-50"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326316","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}
引用次数: 0
SPS Join Now SPS 立即加入
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2024.3411229
{"title":"SPS Join Now","authors":"","doi":"10.1109/MSP.2024.3411229","DOIUrl":"https://doi.org/10.1109/MSP.2024.3411229","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"103-103"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10558740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326384","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}
引用次数: 0
Quaternion-Based Arithmetic in Quantum Information Processing: A promising approach for efficient color quantum imaging [Hypercomplex Signal and Image Processing] 量子信息处理中基于四元数的算术：有望实现高效彩色量子成像的方法[超复杂信号与图像处理］
IF 14.9 1区 工程技术
IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI: 10.1109/MSP.2023.3327627
Artyom M. Grigoryan;Sos S. Agaian
{"title":"Quaternion-Based Arithmetic in Quantum Information Processing: A promising approach for efficient color quantum imaging [Hypercomplex Signal and Image Processing]","authors":"Artyom M. Grigoryan;Sos S. Agaian","doi":"10.1109/MSP.2023.3327627","DOIUrl":"https://doi.org/10.1109/MSP.2023.3327627","url":null,"abstract":"Classical color image processing, image recognition, and machine learning introduce nonlinearity, causing the collapse of the quantum state into classical probability perceptrons after measurements, due to the inherent linearity of quantum computing. To address this challenge, quaternion-based arithmetic offers a promising approach. By treating the primary color components as a single unit using quaternion algebra, nonlinear relationships can be implemented, effectively manipulating higher-dimensional color data. This article aims to achieve efficient and accurate color quantum image processing (QIP) by introducing new quaternion quantum-based color imaging tools based on multiplicative arithmetic on two-qubits and quantum superpositions. The approach includes the concept of a quaternion Fourier transform (QFT) in two-qubit-based color image representation. To end, we discuss possible applications of the proposed methods in color quantum imaging.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 2","pages":"64-74"},"PeriodicalIF":14.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326255","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}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信