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The Latest News, Articles, and Events in Signal Processing
Date: August 31-September 3, 2025
Location: Istanbul, Turkey
A joint design of both sensing and communication can lead to substantial enhancement for both subsystems in terms of size and cost as well as spectrum and hardware efficiency. In the last decade, integrated sensing and communications (ISAC) has emerged as a means to efficiently utilize the spectrum on a single and shared hardware platform.
Integrated Sensing And Communication (ISAC) has been identified as a pillar usage scenario for the impending 6G era. Bi-static sensing, a major type of sensing in ISAC, is promising to expedite ISAC in the near future, as it requires minimal changes to the existing network infrastructure. However, a critical challenge for bi-static sensing is clock asynchronism due to the use of different clocks at far-separated transmitters and receivers.
This paper addresses the topic of integrated sensing and communications (ISAC) in 5G and emerging 6G wireless networks. ISAC systems operate within shared, congested or even contested spectrum, aiming to deliver high performance in both wireless communications and radio frequency (RF) sensing. The expected benefits include more efficient utilization of spectrum, power, hardware (HW) and antenna resources.
In-band full-duplex (FD) multiple-input, multiple-output (MIMO) systems offer a significant opportunity for integrated sensing and communications (ISAC) due to their capability to realize simultaneous signal transmissions and receptions. This feature has been recently exploited to devise spectrum-efficient simultaneous information transmission and monostatic sensing operations, a line of research typically referred to as MIMO FD-ISAC.
Date: 15 January 2025
Time: 7:00 AM ET (New York Time)
Presenter(s): Dr. Nobutaka Ito, Dr. Yoshiaki Bando
As announced in July 2024, the IEEE Signal Processing Society (SPS) will hold a Special Election to fill the vacant President-Elect position. The newly elected President-Elect will start their term in April 2025, contingent upon the timing of the election results, and ending on 31 December 2027. Subsequently, the President-Elect will automatically succeed to President from 1 January 2028 – 31 December 2029.
The IEEE Signal Processing Society invites nominations for the position of Editor-in-Chief for the following journals: IEEE Open Journal of Signal Processing, IEEE Journal of Selected Topics in Signal Processing, and IEEE Signal Processing Letters for a 3-year term starting 1 January 2026.
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society.
Date: 2 April 2025
Time: 10:30 AM ET (New York Time)
Presenter(s): Dr. Peyman Fayyaz Shahandashti
Date: 28 January 2025
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. José Reinaldo Cunha Santos A. V. Silva Neto
Date: 16 January 2025
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. Kaiming Sehen
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.
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.
Mérouane Debbah is Professor at Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI.
The Signal Processing Society (SPS) conducts webinars presented by professionals in the field of signal processing and related technologies on an ongoing basis. Webinars are also hosted periodically by SPS Technical Committees, and other network of communities. Visit the Upcoming Events page to see a list of our upcoming webinars and join us! Visit the SPS BLOG for more related content on a regular basis!
This paper investigates the probability-guaranteed distributed
In this manuscript, we propose to use a variational autoencoder-based framework for parameterizing a conditional linear minimum mean squared error estimator. The variational autoencoder models the underlying unknown data distribution as conditionally Gaussian, yielding the conditional first and second moments of the estimand, given a noisy observation.
Do you want to dive into the exciting field of distributed machine learning with a special focus on privacy/security? This research topic is going to shake up how we understand and apply machine learning, with the aim of creating safer and more private solutions in an increasingly digitized world. Successful applicants will have the opportunity to explore and contribute to groundbreaking research questions.
Date: 29 & 31 January 2025
Chapter: Germany Chapter
Chapter Chair: Gerald Enzner
Title: Machine Learning for Acoustic Scene Analysis
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