Search results
Enter terms
8247 results found.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
First, I would like to wish you and your loved ones a nice new year filled with health and happiness. The last few years have been challenging for various reasons: the COVID-19 pandemic, climatic events, and the war in Ukraine, to name a few. It seems impossible to be able to stop the megalomania and madness of some human beings.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
May the year 2023 bring everyone closer to the fulfilment of their dreams. We have left behind a year marked with successes on multiple fronts, including health and technology as well as a year filled with proud people risking their lives for freedom. In particular, two big movements have captured our hearts: the fierce resistance of Ukranian people against the Russian invasion of their country, and the prodemocracy uprising in Iran with women in the lead.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
At the time of publication, all of the links in this article were operational. However, since we do not host the videos, we have no control over whether or not they will continue to be active. In many cases, similar or related videos can be found by typing the performer’s name in an appropriate search engine.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
The compressive sensing (CS) scheme exploits many fewer measurements than suggested by the Nyquist–Shannon sampling theorem to accurately reconstruct images, which has attracted considerable attention in the computational imaging community. While classic image CS schemes employ sparsity using analytical transforms or bases, the learning-based approaches have become increasingly popular in recent years. Such methods can effectively model the structure of image patches by optimizing their sparse representations or learning deep neural networks while preserving the known or modeled sensing process.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Recent years have witnessed a rapidly growing interest in next-generation imaging systems and their combination with machine learning. While model-based imaging schemes that incorporate physics-based forward models, noise models, and image priors laid the foundation in the emerging field of computational sensing and imaging, recent advances in machine learning, from large-scale optimization to building deep neural networks, are increasingly being applied in modern computational imaging.
We are advertising for a two-year Post-Doc position at King’s College London to work with Prof. Osvaldo Simeone and Prof. Bipin Rajendran on AI and neuromorphic computing with applications to wireless communication systems.
Issue Date:
Section: Community & Involvement
With the nomination by the CI TC Awards Subcommittee, Dr. Linda Moore was selected to be a 2023 IEEE SPS Distinguished Industry Speaker. Well-deserved and congratulations!
Lecture Topics
Issue Date:
Section: Community & Involvement
• Yuejie Chi (TC member) was elevated to IEEE fellow for contributions to statistical signal processing with low-dimensional structures.
• Brendt Wohlberg, (TC advisory member) was elevated to IEEE fellow for contributions to computational imaging and sparse representations.
Well-deserved and congratulations!
Section: Events
Date: January 27, 2022
Time: 10:00 AM ET (New York Time)
Title: Signal Processing for THz Communications
Registration | Full webinar details
