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Date: 6 July 2023
Time: 10:00 AM EDT (Local time)
Presenter(s): Dr. Daniel Moreira
Last chance to submit to the Special Issue on Learning-Based Signal Processing for Integrated Sensing and Communications. Submission Deadline Extended: 26 June 2023.
A new initiative of JSTSP, Special Series on AI in Signal & Data Science, is launched, to be published within the IEEE Journal of Selected Topics in Signal Processing (JSTSP). Submission Deadline: 1 July 2023.
Date: 23 June 2023
Time: 11:00 AM | (UTC-04:00) Eastern Time (US & Canada)
Presenter(s): Dr. Qian Lin
Date: 11-15 July 2023
Chapter: UK & Ireland Chapters
Chapter Chair: Marwan M. Al-Akaidi
Title: TBD
Millimeter wave (mmWave) communications provide a promising solution to meet the proliferating demand for high data rate because of large bandwidth. The current “boomingly” deployed fifth generation communication system (5G) has not actually touched the dominant frequency band of mmWave and thus can hardly enjoy its merit on dramatically boosting transmission rate, which motivates us to conduct research on the ultimate implementation of mmWave communications.
Date: 26 September 2023
Time: 2:00 PM ET (New York Time)
Presenter(s): Dr. Shunqiao Sun, Dr. Yimin D. Zhang
Date: 30 November 2023
Time: 9:00 AM ET (New York Time)
Speaker(s): Dr. Xin Li
Date: 14 August 2023
Time: 2:00 PM ET (New York Time)
Speaker(s): Dr. Hossein Talebi, Dr. Peyman Milanfar
Manuscript Due: 15 August 2023
Publication Date: January 2025
Date: 14 June 2023
Time: 4:00 PM CET (Local time)
Presenter(s): Dr. Anubha Gupta
Date: 13 June 2023
Time: 4:00 PM CET (Local time)
Presenter(s): Dr. Anubha Gupta
The 75th anniversary of the IEEE Signal Processing Society (SPS) is an ideal time to look at the rapid advances in our field and the many ways that these increasingly powerful technologies have transformed our professions and the world. This is not just a time to celebrate past achievements and pat ourselves on the back, but also to educate young students and innovators about the history of our profession, the challenges we have overcome, and the breakthroughs that have led to the incredible growth of Signal Processing (SP).