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The Latest News, Articles, and Events in Signal Processing
The IEEE Signal Processing Society (SPS) invites nominations for the positions of the Director-Student Services, Director-Membership Development, and Chair, Seasonal Schools Subcommittee. The term for the three positions is three years (1 January 2022-31 December 2024). Nominations must be received no later than 4 June 2021.
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Researchers in Speech, Text and Multimodal Machine Translation at DFKI Saarbrücken, Germany
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The MT group at ML at DFKI Saarbrücken is looking for
senior researchers/researchers/junior researchers
in speech, text and multimodal machine translation using deep learning.
The IEEE Signal Processing Society invites nominations for the SPS Distinguished Industry Speaker (DIS) Program and the Distinguished Lecturer (DL) Program. Please note that the Distinguished Industry Speaker positions supplements the Distinguished Lecturer Program. The main difference and goal of the DIS Program is to educate and interact with Society members about topics that are of primary importance to industry and the signal processing community-at-large.
Given the impossibility of travel during the COVID-19 crisis, Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.
Graphs are generic models of signal structure that can help to learn in several practical problems. To learn from graph data, we need scalable architectures that can be trained on moderate dataset sizes and that can be implemented in a distributed manner. Drawing from graph signal processing, the webinar will define graph convolutions and use them to introduce graph neural networks (GNNs).
Join us in the second year of PROmotinG DiveRsity in Signal ProcESSing (PROGRESS), which is an initiative of the IEEE Signal Processing Society designed to motivate, provide information and support women and under-represented minorities in pursuing academic careers in signal processing.
June 4-5, 2021
Application submission deadline: May 10, 2021
Location: Virtual conference
Workshop Flyer
This thesis addresses security and privacy problems for digital devices and biometrics, where a secret key is generated for authentication, identification, or secure computa- tions. A physical unclonable function (PUF) is a promising solution for local security in digital devices.
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 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.
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
The Signal Processing (SP) research group at the Universität Hamburg in Germany is hiring a Postdoc (E13/E14) "Machine Learning for Speech and Audio Processing".
October 6-8, 2021
Location: Tampere, Finland
Wide-sense cyclostationary processes are an important class of non-stationary processes that have a periodic structure in their first- and second-order moments. This article extends the notion of cyclostationarity (in the wide sense) to processes where the mean and covariance functions might depart from strict periodicities and constant amplitudes.
In this paper, power allocation is examined for the coexistence of a radar and a communication system that employ multicarrier waveforms. We propose two designs for the considered spectrum sharing problem by maximizing the output signal-to-interference-plus-noise ratio (SINR) at the radar receiver while maintaining certain communication throughput and power constraints.
Hidden Markov models are widely used for target tracking, where the process and measurement noises are usually modeled as independent Gaussian distributions for mathematical simplicity. However, the independence and Gaussian assumptions do not always hold in practice. For example, in a typical target tracking application, a radar is utilized to track a non-cooperative target.
Time-frequency (TF) representations of time series are intrinsically subject to the boundary effects. As a result, the structures of signals that are highlighted by the representations are garbled when approaching the boundaries of the TF domain. In this paper, for the purpose of real-time TF information acquisition of nonstationary oscillatory time series, we propose a numerically efficient approach for the reduction of such boundary effects.
In this paper, we investigate the resource allocation problem for a full-duplex (FD) massive multiple-input-multiple-output (mMIMO) multi-carrier (MC) decode and forward (DF) relay system which serves multiple MC single-antenna half-duplex (HD) nodes. In addition to the prior studies focusing on maximizing the sum-rate and energy efficiency, we focus on minimizing the overall delivery time for a given set of communication tasks to the user terminals.
The problem of graph learning concerns the construction of an explicit topological structure revealing the relationship between nodes representing data entities, which plays an increasingly important role in the success of many graph-based representations and algorithms in the field of machine learning and graph signal processing.
JPEG lossy image compression is a still image compression algorithm model that is currently widely used in major network media. However, it is unsatisfactory in the quality of compressed images at low bit rates. The objective of this paper is to improve the quality of compressed images and suppress blocking artifacts by improving the JPEG image compression model at low bit rates.
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- THIS WEEK: Join NASA’s Dr. Jacqueline Le Moigne as she shares her journey through academia, the private sector, and pivotal roles at NASA, emphasizing her work in signal processing, computer vision, and related technologies. Register now! https://x.com/IEEEsps/status/1785057479606288505
- Join NASA’s Dr. Jacqueline Le Moigne for this interactive webinar as she shares her journey through the realms of signal processing, computer vision, and related technologies, including her pivotal roles at NASA. https://x.com/IEEEsps/status/1782468413551423536
- Great crowd at the Student Job Fair at #ICASSP2024! Thank you to our sponsors for furnishing an exciting, engaging event! https://x.com/IEEEsps/status/1780817453569687559
- Thank you to our Women in Signal Processing Luncheon panelists for their wisdom and insights during today’s event at #ICASSP2024! https://x.com/IEEEsps/status/1780458637338530252
- Free Machine Learning (ML) Lecture Series from IEEE SPS From basics to recent advances, unlock the secrets of ML with Prof. Sergios Theodoridis! https://x.com/IEEEsps/status/1779931297093222415
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