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The Latest News, Articles, and Events in Signal Processing

IEEE Signal Processing Letters

In this letter, we consider Bayesian parameterestimation using mixed-resolution data consisting of both analog and 1-bit quantized measurements. We investigate the use of the partially linear minimum mean-squared-error (PL-MMSE) estimator for this mixed-resolution scheme. The use of the PL-MMSE estimator, proposed for general models with “straightforward” and “complicated” parts, has not been demonstrated for quantized data. 

IEEE Journal of Selected Topics in Signal Processing
Dual-functional radar-communication (DFRC) systems can simultaneously perform both radar and communication functionalities using the same hardware platform and spectrum resource. In this paper, we consider multi-input multi-output (MIMO) DFRC systems and focus on transmit beamforming designs to provide both radar sensing and multi-user communications.
IEEE Journal of Selected Topics in Signal Processing
Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, by sharing the majority of hardware, signal processing modules and, in a typical case, the transmitted signal. The close cooperation of the communication and sensing functions can enable significant improvement of spectrum efficiency, reduction of device size, cost and power consumption, and improvement of performance of both functions. 
IEEE Journal of Selected Topics in Signal Processing
The papers in this special section focuses on the exploitation of the radar spectrum for use of commercial wireless communication, as well as emerging applications requiring joint communication and sensing designs. The integration of radar and communication systems has recently attracted a lot of research and commercial interest. The emergence of spectrum-hungry applications have necessitated the exploitation of the permanently allocated, but potentially under-utilized spectral resources, and sharing the frequency bands between radar and communication systems has attracted substantial attention.

The IEEE Signal Processing Society (SPS) invites nominations for the position of Editor-in-Chief for the following journals: IEEE Signal Processing Letters for a 3-year term starting 1 January 2023.

The Signal Processing Society is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICASSP in Singapore May 22-27, 2022. The topic chosen this year is graph signal processing (GSP) and its applications. Graph signals arise in various applications, such as sensor networks, power systems, social networks, and biological studies. 

IEEE Signal Processing Magazine
I am excited to start my service as the IEEE Signal Processing Society (SPS) president. I should note that I am the first SPS president directly elected by the SPS membership, due to the SPS Board of Governors (BOG) urging a stronger member voice in elections. This is a big honor for me and I would like to express my thanks to SPS members for their trust. I write this article to introduce myself, acknowledge key volunteers and staff for their service, outline the activities I will lead over the next two years, and invite your comments and suggestions.
IEEE Signal Processing Magazine
The November 2021 IEEE Technical Activities Board meeting presentations articulated several warning signs and promising calls to action. A new, radical proposal to change the way IEEE elevates its Members to Fellow status may finally address the inclusion and equity issues that we discuss but have yet to address. The proposal is still in its infancy and was drafted by a committee chaired by our very own Jose Moura. It recognizes and documents what many of us have known anecdotally: the success rate of Fellow nominations coming from industry, government, and regions outside North America and Europe is abysmally low, despite the quality of the nominees.
IEEE Signal Processing Magazine
Multiscale 3D characterization is widely used by materials scientists to further their understanding of the relationships between microscopic structure and macroscopic function. Scientific computed tomography (SCT) instruments are one of the most popular choices for 3D nondestructive characterization of materials at length scales ranging from the angstrom scale to the micron scale. These instruments typically have a source of radiation (such as electrons, X-rays, or neutrons) that interacts with the sample to be studied and a detector assembly to capture the result of this interaction (see Figure 1 ).
IEEE Signal Processing Magazine
The Markov random field (MRF) is one of the most widely used models in image processing, constituting a prior model for addressing problems such as image segmentation, object detection, and reconstruction. What is not often appreciated is that the MRF owes its origin to the physics of solids, making it an ideal prior model for processing microscopic observations of materials. While both fields know of their respective interpretations of the MRF, each knows very little about the other’s version of it. Hence, both fields have “blind spots,” where some concepts readily appreciated by one field are completely obscured from the other. 
IEEE Signal Processing Magazine
In an age when signal processing lies at the core of so many different technologies, nothing is more important than its contribution to health care. From improved cardiac patient support to enhanced magnetic resonance imaging (MRI) and advanced diagnostics, signal processing is helping physicians work more safely, efficiently, and accurately. Here is a look at three important research projects that are using signal processing to assist both patients and health-care providers.

The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 58 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest. 

Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a Distinguished Scientist at Microsoft Research (MSR). He is a fellow at the Canadian Institute for Advanced Research (CIFAR) and the European Lab for Learning and Intelligent Systems (ELLIS) where he also serves on the founding board. 

The IEEE SPS congratulates the following SPS members who will receive the Society’s prestigious awards during ICASSP 2022 in Singapore.

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.

The IEEE Signal Processing Society (SPS) announces the 2022 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2022 to 31 December 2023.  The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings. 

I was born in Zaragoza, Spain, in 1978. As a child, I enjoyed studying and learning new things. I loved Math and the way they can be used to explain almost everything, but I was not attracted to technology at all! I never envisioned myself as an Engineer, but rather thought I would study Medicine, or something related to taking care and healing people. 

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.

Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members.  To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow.  The grade of Fellow recognizes unusual distinction in IEEE’s designated fields.

Prof. Tiago H. Falk received the BSc degree from the Federal University of Pernambuco, Brazil, in 2002, and the MSc and PhD degrees from Queen’s University, Canada, in 2005 and 2008, respectively, all in electrical engineering. In 2007, he was a visiting Research Fellow at the Sound and Image Processing Lab, Royal Institute of Technology (KTH), Sweden, and in 2008 at the Quality and Usability Lab, Deutsche Telekom/TU Berlin, Germany. 

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