雜志介紹

Ieee Transactions On Signal And Information Processing Over Networks雜志介紹

《Ieee Transactions On Signal And Information Processing Over Networks》是一本以English為主的未開放獲取國際優秀期刊，中文名稱IEEE Transactions on Signal and Information Processing Over Networks，本刊主要出版、報道計算機科學-ENGINEERING, ELECTRICAL & ELECTRONIC領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為3，最新CiteScore 指數為5.8。

本刊近期中國學者發表的論文主要有：

• Byzantine-Robust Distributed Learning With Compression

  Author: Zhu, Heng; Ling, Qing

• A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization

  Author: Zheng, Lifeng; Li, Huaqing; Li, Jun; Wang, Zheng; Lu, Qingguo; Shi, Yawei; Wang, Huiwei; Dong, Tao; Ji, Lianghao; Xia, Dawen

• A Variable Parameter LMS Algorithm Based on Generalized Maximum Correntropy Criterion for Graph Signal Processing

  Author: Zhao, Haiquan; Xiang, Wang; Lv, Shaohui

• Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs

  Author: You, Junxia; Yang, Lihua

英文介紹

Ieee Transactions On Signal And Information Processing Over Networks雜志英文介紹

The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.