超复杂信号与图像处理:第 1 部分 [特邀编辑寄语]

IF 9.4 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Magazine Pub Date : 2024-03-01 DOI:10.1109/MSP.2024.3378129
Nektarios A. Valous;Eckhard Hitzer;Salvatore Vitabile;Swanhild Bernstein;Carlile Lavor;Derek Abbott;Maria Elena Luna-Elizarrarás;Wilder Lopes
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引用次数: 0

摘要

基于功能丰富的数学/计算框架的新型计算信号和图像分析方法不断突破技术极限,从而提供优化和高效的解决方案。超复数信号和图像处理是一个引人入胜的领域,它通过在代数和几何的统一框架中使用超复数来扩展传统方法。在这一领域中开发的方法可以带来更有效、更强大的信号和图像分析方法。在超复数领域处理音频、视频、图像和其他类型的数据,可以获得更复杂、更直观的表示方法,其代数特性可以带来新的见解和优化。图像处理、信号滤波和深度学习(仅举几例)中的应用表明,在超复杂域中工作可以带来更高效、更稳健的结果。随着该领域研究的不断深入和软件工具的日益普及,我们有望在计算机视觉、机器学习等多个研究领域看到越来越复杂的应用。
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Hypercomplex Signal and Image Processing: Part 1 [From the Guest Editors]
Novel computational signal and image analysis methodologies based on feature-rich mathematical/computational frameworks continue to push the limits of the technological envelope, thus providing optimized and efficient solutions. Hypercomplex signal and image processing is a fascinating field that extends conventional methods by using hypercomplex numbers in a unified framework for algebra and geometry. Methodologies that are developed within this field can lead to more effective and powerful ways to analyze signals and images. Processing audio, video, images, and other types of data in the hypercomplex domain allows for more complex and intuitive representations with algebraic properties that can lead to new insights and optimizations. Applications in image processing, signal filtering, and deep learning (just to name a few) have shown that working in the hypercomplex domain can lead to more efficient and robust outcomes. As research in this field progresses and software tools become more widely available, we can expect to see increasingly sophisticated applications in many areas of research, e.g., computer vision, machine learning, and so on.
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来源期刊
IEEE Signal Processing Magazine
IEEE Signal Processing Magazine 工程技术-工程:电子与电气
CiteScore
27.20
自引率
0.70%
发文量
123
审稿时长
6-12 weeks
期刊介绍: EEE Signal Processing Magazine is a publication that focuses on signal processing research and applications. It publishes tutorial-style articles, columns, and forums that cover a wide range of topics related to signal processing. The magazine aims to provide the research, educational, and professional communities with the latest technical developments, issues, and events in the field. It serves as the main communication platform for the society, addressing important matters that concern all members.
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