Applied and Computational Harmonic Analysis
Applied and Computational Harmonic Analysis (commonly abbreviated as Appl. Comput. Harmon. Anal.) is a journal for applied and computational harmonic analysis published by Elsevier. Founded in 1993, it carries a 2025 impact factor of 2.6.Applied and Computational Harmonic Analysis(常用缩写 Appl. Comput. Harmon. Anal.)是 Elsevier 出版的应用与计算调和分析领域期刊,1993 年创刊,2025 年影响因子为 2.6。[1]
Scope
- Scope: an interdisciplinary journal, it publishes high-quality work across the mathematical sciences related to the applied and computational aspects of harmonic analysis, stressing innovative theoretical development, methods and algorithms.学科定位: 期刊为跨学科刊物,出版与调和分析的应用及计算方面相关的数学科学各领域高水平论文,强调创新的理论发展、方法与算法。
- Subject coverage: it spans continuous and discrete wavelet transforms, wavelet frames, time-frequency and time-scale bases, multiscale methods, sparse representation and compressive sensing, matrix completion, random matrices and dimensionality reduction.收录主题: 覆盖连续与离散小波变换、小波框架、时频与时尺度基函数、多尺度方法、稀疏表示与压缩感知、矩阵补全、随机矩阵与降维等方向。
- Application areas: applications include data compression, signal and image processing, learning theory and algorithms, computer-aided geometric design, extra large data analysis, data recovery and image inpainting, data mining, hyperspectral imaging and novel sensors and systems.应用领域: 应用方向包括数据压缩、信号与图像处理、学习理论与算法、计算机辅助几何设计、超大尺寸数据分析、数据恢复与图像修补、数据挖掘、高光谱成像以及新型传感器与系统。
- Aims: the journal chronicles the important publications in the fast-growing field of data representation and analysis, stimulates research in adjoining interdisciplinary areas, and provides a common link among mathematical, physical and life scientists as well as engineers.办刊目标: 期刊旨在记录数据表示与分析这一快速生长领域的重要成果,促进相关交叉领域研究,并充当数学、物理、生命科学与工程学界之间的共同纽带。
- Indexing and metrics: indexed in the Science Citation Index Expanded, the journal sits in the first quartile of applied mathematics, with a 2025 impact factor of 2.6 and a CiteScore of 7.3.收录与指标: 被科学引文索引扩展版收录,在应用数学类别中列第一区,2025 年影响因子为 2.6,CiteScore 为 7.3。[2]
History
- Founded in 1993: the journal was launched in 1993 and is published by Elsevier.1993年创刊: 期刊于 1993 年创刊,由 Elsevier 出版。
- Background to the founding: with wavelet and time-frequency analysis surging in the early nineties, the journal gave that movement a dedicated publishing venue.创刊背景: 小波分析与时频分析在九十年代初迅猛发展,期刊的创办为这一浪潮提供了专门的出版阵地。
- Commemorative award: in February 2021 the journal announced the Charles Chui Young Researcher Best Paper Award, honouring outstanding contributions by early-career researchers.纪念奖项: 2021 年 2 月期刊宣布设立 Charles Chui 青年研究者最佳论文奖,以表彰青年学者的突出贡献。[3]
- Operational record: the journal's published insights give a median submission-to-first-decision time of 11 days and roughly 415 days from submission to acceptance.出版效率: 期刊公开的运行数据显示,投稿到初审中位时间为 11 天,投稿到接受约 415 天。
- Recent metrics: the impact factor stood at 2.573 in 2019, 2.974 in 2021 and 2.6 in 2025, keeping a front rank in applied mathematics.近年指标: 影响因子 2019 年为 2.573,2021 年为 2.974,2025 年为 2.6,长期处于应用数学前列。
- Frequency: the journal appears bimonthly with six issues a year.刊期: 期刊为双月刊,每年出版六期。[4]
Editors
- Editors-in-chief: the journal is led by three editors-in-chief, Radu Balan of the University of Maryland, Ronald R. Coifman of Yale University and David Donoho of Stanford University.现任主编: 期刊设三位共同主编,分别为马里兰大学的 Radu Balan、耶鲁大学的 Ronald R. Coifman 与斯坦福大学的 David Donoho。
- Editorial background: Coifman and Donoho are foundational figures of wavelet and sparse representation research, while Balan has long worked on frame theory and signal processing.主编背景: Coifman 与 Donoho 是小波与稀疏表示方向的奠基性学者,Balan 长期从事框架理论与信号处理研究。
- Editorial board: the board covers harmonic analysis, approximation theory, statistical learning and computational mathematics.编委构成: 编委会覆盖调和分析、逼近论、统计学习与计算数学等方向。
- Submission and peer review: manuscripts are lodged through Editorial Manager and undergo peer review, with an open access option available.投稿与评审: 稿件经 Editorial Manager 在线系统递交,接受同行评审,期刊支持开放获取出版选项。[5]
- Editorial policy: the journal favours results combining theoretical originality with algorithmic feasibility, and regularly runs special issues at the meeting point of harmonic analysis and machine learning.编辑方针: 期刊偏好兼具理论原创与算法可实现性的成果,并定期推出调和分析与机器学习交叉的专号。