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The Latest News, Articles, and Events in Signal Processing
When I began writing this 75th anniversary article celebrating women in signal processing (SP), I reread the 1998 editorial titled “Fifty Years of Signal Processing: 1948–1998” [1] . At that time, IEEE had more than 300,000 members in 150 nations, the world’s largest professional technical Society. Within the IEEE umbrella, there were 37 IEEE Societies and technical groups, and the IEEE Signal Processing Society (SPS) was the oldest among its many Societies.
Throughout the IEEE Signal Processing Society’s (SPS’s) history, conferences have functioned as a main way to connect within the Society, bringing together the signal processing research community to discuss and debate, establish research collaborations, and have a good time.
Integrated sensing and communications (ISAC) systems result from a coordinated or joint design of sensing and communication functionalities to achieve efficient use of limited spectrum, operation with low cost and compact size hardware, additional sensing services for wireless networks, or improved system performance.
A coarse-to-fine SR CNN (CFSRCNN) consisting of a stack of feature extraction blocks (FEBs), an enhancement block (EB), a construction block (CB) and, a feature refinement block (FRB) is proposed to learn a robust SR model.
Dr. Yang Lei is a Principal Research Engineer and Tech Lead at HP, leading the efforts of developing computer vision solutions for computing products. Her work has been applied to various domains, including video conferencing, life science, digital manufacturing, education, etc.
Members
Note: View the full downloadable list of the past TCI members (right-click, Save As, to save file).
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Date: 10-14 July 2023
Location: New Haven, CT, USA
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Prof. Nikolaos (Nikos) Sidiropoulos is the Louis T. Rader Professor of Electrical and Computer Engineering at the University of Virginia. He earned his Ph.D. in Electrical Engineering from the University of Maryland–College Park, in 1992.
The IEEE Signal Processing Society (SPS) invites nominations for the positions of Awards Board Chair and Fellow Evaluation Committee - Chair and Vice Chair. Nominations should be received no later than 13 July 2023.
Location: Instituto de Telecomunicações, Instituto Superior Técnico, University of Lisbon, Portugal
Date: 20 September 2023
Time: 11:00 AM ET (New York Time)
Speaker(s): Dr. Xudong Zhang, Dr. Fangzhou Wang, Dr. Hongbin Li
Date: 13 February 2023
Time: 2:30 PM ET (New York Time)
Full webinar details
Date: 18 April 2023
Time: 3:00 PM CET (Local time)
Presenter(s): Dr. Matthews Jacob
Date: 14 September 2023
Time: 7:30 AM ET (New York Time)
Speaker(s): Dr. Cheng Lu, Dr. Ya-Feng Liu, Dr. Jing Zhou
The Signal Processing, Learning, and Computing (SPLC) Group at the Baltic Institute of Advanced Technology (BPTI) seeks a postdoctoral researcher in theoretical and applied signal processing.
The successful candidate will develop new computational methods for airborne object recognition in radar signals.
The following volunteers have been named Editors-in-Chief of IEEE Signal Processing Society publications. The term for these Editors-in-Chief will run from 1 January 2024 through 31 December 2026.
One year ago, I was writing the IEEE Signal Processing Magazine 2022 May editorial when the Russian army brutally attacked Ukraine. One year after, war is always present… I can’t understand how a single man and his entourage can unleash such a killing spree and be responsible for so many deaths, especially innocent victims like children.
Humans can listen to a target speaker even in challenging acoustic conditions that have noise, reverberation, and interfering speakers. This phenomenon is known as the cocktail party effect . For decades, researchers have focused on approaching the listening ability of humans. One critical issue is handling interfering speakers because the target and nontarget speech signals share similar characteristics, complicating their discrimination.
Analyzing the magnitude response of a finite-length sequence is a ubiquitous task in signal processing. However, the discrete Fourier transform (DFT) provides only discrete sampling points of the response characteristic. This work introduces bounds on the magnitude response, which can be efficiently computed without additional zero padding. The proposed bounds can be used for more informative visualization and inform whether additional frequency resolution or zero padding is required.
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