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News and Resources for Members of the IEEE Signal Processing Society

Publications News

The IEEE Signal Processing Society (SPS) is proud to announce that Prof. Mari Ostendorf has accepted the position of Editor-in-Chief (EIC) of the new IEEE Open Journal of Signal Processing (OJ-SP)—a gold, fully open access journal dedicated to publishing peer-reviewed articles on the latest topics and trends in Signal Processing (SP).

The list of tables of contents (TOCs) are now available for July 2019. The TOCs are formatted to the style of its publication and offers not only links to the full issue on the front cover, but also links to the individual articles to take you directly to IEEEXplore®; simply mouse-over the article title and click on it.

Effective immediately, all SPS Student Branch Chapters are now eligible to request up to $500 annually to help support invited speakers, career development workshops, social functions in connection to Student Branch Chapter meetings, and other related activities. 

Recent years have witnessed the explosive growth of mobile data traffic, which has led to ever-increasing demand for high system throughput, massive user access, heterogeneous data traffic, high bandwidth efficiency, and ultra-low latency. 

Information is the key element in modern factory automation and process control systems, and one of the most difficult tasks is to provide, distribute, and properly process it. Information transfer and processing in this scenario depend to a large extent on appropriate communication systems, usually referred to as “industrial networks.”

Radar was developed during World War II for defense and security applications, and it was initially used for detecting aircrafts and missiles, replacing short range and narrow field-of-view acoustic devices. 

The list of tables of contents (TOCs) are now available for May 2019. The TOCs are formatted to the style of its publication and offers not only links to the full issue on the front cover, but also links to the individual articles within each TOC to take you to IEEEXplore®. 

The importance of developing cognitive computation and cognitive systems has long been of interest. This research field is now rapidly expanding with the current influx of artificial intelligence innovations. Nowadays, machine learning solutions are dramatically transforming the lives of humans and are having a profound impact on a wide range of disciplines and industries. However, machine learning is not omnipotent, especially under the circumstance of cognitive systems operating in open and dynamic environments.

Uncertain multicriteria decision making is to select or rank objects based on the evaluation done by the decisionmaker on several criteria under uncertainty. Uncertain multicriteria decision making has been proved as a useful means in diverse fields such as management, finance, economics, education, environmental protection, medicine, engineering, and so on. Due to numerous successful applications, it becomes more and more prevailing.

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