Transactions on Radar Systems
Representative: Fulvio Gini (12/31/24)
Transactions on Machine Learning in Communications and Networking
Representative: TBD
Postdoctoral Researcher
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.
Automatic Detection of Mosquito Breeding Grounds Challenge: ICIP 2023
In the ICIP 2023 Grand Challenge entitled "Automatic Detection of Mosquito Breeding Grounds", we consider the development of a video-analysis system for the automatic detection of objects commonly associated with mosquito foci: discarded tires, water tanks, buckets, puddles, pools, and bottles.
Infrared Imaging-based Drone Detection and Tracking in Distorted Surveillance Videos: ICIP 2023
The proliferation of Unmanned Aerial Vehicles (UAVs) such as drones has caused serious security and privacy concerns in the recent past. Detecting drones is extremely challenging in conditions where the drones exactly resemble a bird or any other flying entity and are to be detected under low visibility conditions.
New Society Editors-in-Chief Named for 2024
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.
Object Detection Under Uncontrolled Acquisition Environment and Scene Context Constraints Challenge: ICIP 2023
This challenge will perform the first comprehensive benchmark of the impact of a wide range of distortions on the performance of current object detection methods. The proposed database contains, in addition to the conventional real distortions, other synthesized photo-realistic distortions corresponding to real and very frequent scenarios often neglected in other databases despite their importance. The synthetic distortions are generated according to several types and severity levels with respect to the scene context.
Promoting Integrity and Knowledge for the Well-Being of Humanity and Peace
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.
Neural Target Speech Extraction: An overview
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.
Bounded-Magnitude Discrete Fourier Transform
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.
