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The Latest News, Articles, and Events in Signal Processing
Optimal rank selection is an important issue in tensor decomposition problems, especially for Tensor Train (TT) and Tensor Ring (TR) (also known as Tensor Chain) decompositions. In this paper, a new rank selection method for TR decomposition has been proposed for automatically finding near-optimal TR ranks, which result in a lower storage cost, especially for tensors with inexact TT or TR structures.
The emergence of big data and the multidimensional nature of wireless communication signals present significant opportunities for exploiting the versatility of tensor decompositions in associated data analysis and signal processing. The uniqueness of tensor decompositions, unlike matrix-based methods, can be guaranteed under very mild and natural conditions.
The papers in this special section focus on tensor decomposition for signal processing and machine learning. Tensor decomposition, also called tensor factorization, is useful for representing and analyzing multi-dimensional data. Tensor decompositions have been applied in signal processing applications (speech, acoustics, communications, radar, biomedicine), machine learning (clustering, dimensionality reduction, latent factor models, subspace learning), and well beyond.
We study distributed filtering for a class of uncertain systems over corrupted communication channels. We propose a distributed robust Kalman filter with stochastic gains, through which upper bounds of the conditional mean square estimation errors are calculated online.
In this paper, a smart pilot sequence assignment method is proposed to minimize inter-cell interference generated in a massive multi-input multi-output (MIMO) system due to pilot contamination in uplink TDD (Time Division Duplex) mode. The proposed method employs a zero-one integer linear programming method as the assignment algorithm.
Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 11 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness in the future as well.
The Department of Neurosurgery seeks a talented postdoctoral research associate to study the neurophysiology of sleep in human subjects, within the combined translational research efforts of Aviva Abosch, MD, PhD, Professor and Chair, Department of Neurosurgery, University of Nebraska Medical Center (UNMC), and Stephen Gliske, PhD, Assistant Professor, Department of Neurosurgery, and Co-Director of the MEG Program, UNMC.
Autonomous on-board drone navigation (i.e., without human intervention) in inaccessible environments is a fundamental challenge. The goal in this project is to develop novel machine learning algorithms for autonomous drone navigation in outdoor environments including localization and synchronization for BVLOS (beyond visual line of sight) scenarios and/or GPS-denied environments, by utilizing RF signals from fixed ground stations and/or in collaboration with other drones.
Title: Sparse predictive models for the analysis and classification of pathological speech
Duration: from 01/11/2021 to 31/12/2022 (could be extended to an advanced position)
Digital Voice Systems, Inc. (DVSI) is seeking a qualified Speech Research & Development Engineer at our office in Westford, MA. This is a great opportunity to join our team of world class engineers in designing high quality voice compression technology that is implemented in hundreds of millions of telecommunication systems world-wide.
At this time, we are extending the Editor-in-Chief nomination deadline for the following journals: IEEE/ACM Transactions on Audio, Speech, and Language Processing, IEEE Transactions on Computational Imaging, and IEEE Transactions on Information Forensics and Security. Nomination are due by 23 April 2023.
Lecture Date: May 25, 2021 -- Virtual Lecture
Chapter: Madras
Chapter Chair: S. Salivahanan
Topic: Making sense out of restless brain activity with computational neuroimaging
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.
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