Please find this month’s tables of contents (TOCs) below. The three SPS publications who still have month-based issues (Signal Processing Magazine, Journal of Selected Topics in Signal Processing, and Transactions on Multimedia), will still have traditionally formatted TOCs.

The potentials of using millimeter-wave (mmWave) frequency for future wireless cellular communication systems have motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, the conventional fully digital beamforming methods, which require one radio frequency (RF) chain per antenna element, are not viable for large-scale antenna arrays due to the high cost and high power consumption of RF chain components in high frequencies.

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

Three new Members-at-Large will take their seats on the IEEE Signal Processing Society Board of Governors beginning 1 January 2021 and will serve until 31 December 2023. Nine candidates competed for the three Member-at-Large positions. These successful candidates represent a broad spectrum of the IEEE Signal Processing Society.

The IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic.

The Signal Processing Society (SPS) has 12 Technical Committee that support a broad selection of signal processing-related activities defined by the scope of the Society.

Are you looking to energize signal processing students, early stage researchers, and industry practitioners? Consider hosting a virtual Seasonal School for young engineers!

This issue brings to you our interview with Dr. Angshul Majumdar (M’2012, SM’2016), an associate professor at Indraprastha Institute of Information Technology, Delhi, India. He has co-authored more than 80 journal articles and 100 conference proceedings. He has authored two books - Compressed Sensing for Magnetic Resonance Image Reconstruction, published by Cambridge University Press (2015), and Compressed Sensing for Engineers, published by CRC Press (2019). 

Dr. Namrata Vaswani is the Anderlik Professor of Electrical and Computer Engineering at Iowa State University. She received a Ph.D. in 2004 from the University of Maryland, College Park, and a B.Tech. from the Indian Institute of Technology (IIT-Delhi) in India in 1999. Her research interests lie in data science, with a particular focus on statistical Machine Learning, Statistical Signal Processing, and Computer Vision.