IEEE Journal on Selected Areas in Information Theory

美国

发文量 416

被引量 6,734

IEEE Journal on Selected Areas in Information Theory (JSAIT) publishes high quality technical papers on all aspects of Information Theory. It is a multi-disciplinary journal of special issues (SIs) focusing on the intersections of information theory with fields such as machine learning, statistics, genomics, neuroscience, theoretical computer science, and physics. Many fields lean heavily on the fundamentals of information theory, including concepts such as information entropy, compression, coding and decoding, mutual information, divergence, capacity, and rate distortion theory. There will also be special issues for hot topics firmly within information theory, such as new types of codes, short-packet communication, advances in multi-terminal information theory, quantum information theory, information theoretic security, and other emerging topics.

主办单位： IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
出版地区： PISCATAWAY
出版周期：年刊
别名： IEEE J. Sel. Areas Inf. Theory;IEEE J SEL AREAS INF;IEEE JOURNAL ON SELECTED AREAS IN INFORMATION THEORY

创刊时间： 2020年

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收录汇总

出版文献

期刊详情

新发布(2025版)

分析评价

vol.7 (2026)
vol.7 (2026)
vol.6 (2025)
vol.6 (2025)
vol.5 (2024)
vol.5 (2024)
vol.4 (2023)
vol.4 (2023)
vol.3 (2022)
vol.3 (2022)
vol.2 (2021)
vol.2 (2021)
vol.1 (2020)
vol.1 (2020)

SI1 SI2 SI3

封面

2020年SI1期

共：28篇