Ieee Transactions On Signal And Information Processing Over Networks
期刊中文名:IEEE Transactions on Signal and Information Processing Over NetworksISSN:2373-776XE-ISSN:2373-776X
該雜志國(guó)際簡(jiǎn)稱:IEEE T SIGNAL INF PR,是由出版商Institute of Electrical and Electronics Engineers Inc.出版的一本致力于發(fā)布計(jì)算機(jī)科學(xué)研究新成果的的專業(yè)學(xué)術(shù)期刊。該雜志以ENGINEERING, ELECTRICAL & ELECTRONIC研究為重點(diǎn),主要發(fā)表刊登有創(chuàng)見的學(xué)術(shù)論文文章、行業(yè)最新科研成果,扼要報(bào)道階段性研究成果和重要研究工作的最新進(jìn)展,選載對(duì)學(xué)科發(fā)展起指導(dǎo)作用的綜述與專論,促進(jìn)學(xué)術(shù)發(fā)展,為廣大讀者服務(wù)。該刊是一本國(guó)際優(yōu)秀雜志,在國(guó)際上有很高的學(xué)術(shù)影響力。
基本信息:
期刊簡(jiǎn)稱:IEEE T SIGNAL INF PR
是否OA:未開放
是否預(yù)警:否
Gold OA文章占比:12.32%
出版信息:
出版地區(qū):United States
出版周期:4 issues/year
出版語(yǔ)言:English
出版商:Institute of Electrical and Electronics Engineers Inc.
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(guó)際優(yōu)秀期刊,中文名稱IEEE Transactions on Signal and Information Processing Over Networks,本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-ENGINEERING, ELECTRICAL & ELECTRONIC領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果,介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展,探討行業(yè)發(fā)展的思路和方法,以促進(jìn)學(xué)術(shù)信息交流,提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄,為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用,也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為3,最新CiteScore 指數(shù)為5.8。
本刊近期中國(guó)學(xué)者發(fā)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
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.
中科院SCI分區(qū)
Ieee Transactions On Signal And Information Processing Over Networks雜志中科院分區(qū)信息