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Date: 29 March 2024
Time: 8:00 AM ET (New York Time)
Presenter(s): Dr. Shashi Kant, Dr. José Mairton B. da Silva, Jr.
Date: 20-22 March 2024
Time: 9:00 AM ET (New York Time)
Presenter(s): Dr. Philippe Ciuciu
Location: Online
The school of Electrical, Information and Media Engineering,
Institute for High Frequency & Communication Technology (Head: Prof. Dr. Ullrich Pfeiffer), invites applications for a position as:
Research Assistant in the Field of 1-bit 3D Imaging
This position is to be filled as soon as possible for 3 years.
The school of Electrical, Information and Media Engineering,
Institute for High Frequency & Communication Technology (Head: Prof. Dr. Ullrich Pfeiffer), invites applications for
a position as
Research Assistant in the Field of Computational Time-of-Flight 3D Imaging
This position is to be filled as soon as possible for 3 years.
Date: 11 April 2024
Chapter: Oregon Chapter
Chapter Chair: Jinsub Kim
Title: Some Reflections on Distributed Optimization for Machine Learning: Beyond the Common Wisdom
Date: 22 February 2024
Time: 9:00 AM ET (New York Time)
Presenter(s): Dr. Abderrahim Halimi, Dr. Sandor Plosz,
Dr. Aurora Maccarone, Dr. Stephen McLaughlin,
Dr. Gerald S. Buller
Date: 5 March 2024
Chapter: Twin Cities Chapter
Chapter Chair: Tao Zhang
Title: Signal Processing and Deep Learning for Practical Active Noise Control
Date: 13 February 2024
Chapter: Switzerland Chapter
Chapter Chair: Thomas Mittelholzer
Topic: Digital Twins for Communications: How to create and use them
Date: 18-20 June 2024
Location: Karlshamn, Sweden
Date: 15-16 July 2024
Location: Niagara Falls, Canada
The modeling of time-varying graph signals as stationary time-vertex stochastic processes permits the inference of missing signal values by efficiently employing the correlation patterns of the process across different graph nodes and time instants. In this study, we propose an algorithm for computing graph autoregressive moving average (graph ARMA) processes based on learning the joint time-vertex power spectral density of the process from its incomplete realizations for the task of signal interpolation.