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The Latest News, Articles, and Events in Signal Processing

IEEE Signal Processing Magazine
A major line of work in graph signal processing [2] during the past 10 years has been to design new transform methods that account for the underlying graph structure to identify and exploit structure in data residing on a connected, weighted, undirected graph. The most common approach is to construct a dictionary of atoms (building block signals) and represent the graph signal of interest as a linear combination of these atoms. Such representations enable visual analysis of data, statistical analysis of data, and data compression, and they can also be leveraged as regularizers in machine learning and ill-posed inverse problems, such as inpainting, denoising, and classification.
IEEE Signal Processing Magazine
The notion of graph filters can be used to define generative models for graph data. In fact, the data obtained from many examples of network dynamics may be viewed as the output of a graph filter. With this interpretation, classical signal processing tools, such as frequency analysis, have been successfully applied with analogous interpretation to graph data, generating new insights for data science. What follows is a user guide on a specific class of graph data, where the generating graph filters are low pass; i.e., the filter attenuates contents in the higher graph frequencies while retaining contents in the lower frequencies. Our choice is motivated by the prevalence of low-pass models in application domains such as social networks, financial markets, and power systems. 
IEEE Signal Processing Magazine
The articles in this special section focus on graph signal processing. Generically, the networks that sustain our societies can be understood as complex systems formed by multiple nodes, where global network behavior arises from local interactions between connected nodes. More succinctly, a network or a graph can be defined as a structure that encodes relationships between pairs of elements of a set. The simplicity of this definition drives the application of graphs and networks to a wide variety of disciplines, such as biology, medicine, psychology, sociology, economics, engineering, computer science, and so on.

Riken Center for Brain Science

Job offer: Post-doc in biomedical image analysis

Subject Areas:

Signal Processing Theory and Methods
Machine Learning for Signal Processing
Bio Imaging and Signal Processing
Image Video and Multidimensional Signal Processing

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.

Please refer to the following webpage for the latest updates on upcoming conferences, workshops, and events in Signal Processing. Listing of all conferences & events

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!

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.

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). 

White Paper Due: December 5, 2020
Publication Date: January 2022
CFP Document

Date: November 19, 2020
Time: 10:00 AM EDT (New York Time)
Title: Hybrid Digital and Analog Beamforming
Design for Large-Scale Antenna Arrays
Registration | Full webinar details

University of Illinois

Postdoctoral position in Mobile Sensing and Child Mental Health

Beckman Institute for Advanced Science & Technology

University of Illinois at Urbana-Champaign

Linköping University

Postdoc in Computer Engineering formally based at the Department of Electrical Engineering

https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=14602&rmlang=UK

September 27-30, 2021
Location: Note: Location changed to--Virtual Conference

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

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