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The Latest News, Articles, and Events in Signal Processing
The adaptive algorithms applied to distributed networks are usually real-valued diffusion subband adaptive filter algorithms. However, it cannot be used for processing the complex-valued signals. In this paper, a novel augmented complex-valued diffusion normalized subband adaptive filter (D-ACNSAF) algorithm is proposed for distributed estimation over networks. In order to deal with the noncircular complex-valued signals, the D-ACNSAF algorithm uses the widely linear model for a diffusion network.
This paper utilizes the family of affine projection algorithms (APAs) for distributed estimation in the adaptive diffusion networks. The diffusion APA (DAPA), the diffusion selective partial update (SPU) APA (DSPU-APA), the diffusion selective regressor (SR) APA (DSR-APA), and the diffusion dynamic selection (DS) APA (DDS-APA) are introduced in a unified way. In DSPU-APA, the weight coefficients are partially updated at each node during the adaptation.
This paper studies the problem of estimation from relative measurements in a graph, in which a vector indexed over the nodes has to be reconstructed from pairwise measurements of differences between its components associated with nodes connected by an edge. In order to model heterogeneity and uncertainty of the measurements, we assume them to be affected by additive noise distributed according to a Gaussian mixture.
We consider the detection and tracking of a target in a decentralized sensor network. The presence of the target is uncertain, and the sensor measurements are affected by clutter and missed detections. The state-evolution model and the measurement model may be nonlinear and non-Gaussian. For this practically relevant scenario, we propose a particle-based distributed Bernoulli filter (BF) that provides to each sensor approximations of the Bayes-optimal estimates of the target presence probability and the target state.
The cluster of excellence Hearing4all at the Carl von Ossietzky Universität Oldenburg is seeking to fill the position of a
Postdoctoral Researcher
in the Department of Medical Physics and Acoustics, Faculty of Medicine and Health Sciences. The position is available from November 1st, 2019 until October 31th, 2022. Salary will be according to TV-L E13 (100%). The position is suitable for part-time work.
The cluster of excellence Hearing4all at the Carl von Ossietzky Universität Oldenburg is seeking to fill the position of a
Postdoctoral Researcher
A PhD position with full scholarship is available in our group at the Nanyang Technological University, Singapore (http://www.ntu.edu.sg/home/wptay/index.html) starting January 2020.
<p>IEEE Signal Processing Society Past President Rabab K. Ward in her capacity as Chair of the Society’s Nominations and Appointments Committee invites nominations for the IEEE Signal Processing Society Officer positions of Vice President-Membership for the term 1 January 2020 to 31 December 2022 and the new position of Vice President-Education for the term 1 January 2020 to 31 December 2022. </p>
Lecture Date: June 18, 2019
Chapter: Italy
Chapter Chair: Mauro Barni
Topic: Signal Enhancement in Consumer Products
Lecture Date: June 28, 2019
Chapter: Rochester
Chapter Chair: Raymond Ptucha
Topic: Tackling the cocktail party problem using
joint auditory attention decoding and beamforming
Lecture Date: June 11-12, 2019
Chapter: Thailand
Chapter Chair: Supavadee Aramvith
Topic: History of Personal Media Terminals: From Walkman to Apple Watch (June 12)
Lecture Date: October 11, 2019
Chapter: Tokyo (Joint)
Chapter Chair: Kazuya Takeda
Topic: Array processing and beamforming with Kronecker products
Lecture Date: October 9, 2019
Chapter: Kansai
Chapter Chair: Tomohiro Nakatani
Topic: Array processing and beamforming with Kronecker products
Lecture Date: October 7, 2019
Chapter: Sendai
Chapter Chair: Kazuhiro Kondo
Topic: Array processing and beamforming with Kronecker products
When the IEEE Signal Processing Society was initially established as the Professional Group on Audio in 1948, signal processing as we know it didn’t exist. The founders of what would eventually become IEEE’s first society could not have foreseen the evolution of their discipline’s once-narrow scope.
The Brain Image Analysis Unit at the Center for Brain Science (CBS), RIKEN, Japan, seeks highly motivated individuals who will contribute to the development and implementation of image processing and image analysis techniques with a focus on brain image data.
At its 18 May 2019 meeting, the Board of Governors of the IEEE Signal Processing Society passed amendments to the Society’s Constitution document regarding member election of the Society’s President-Elect, updating the reference to email voting instead of postal mail voting along with its associated timeframe and removing the 30-day waiting period, so amendments are effective after all required approvals are received.
The Executive Committee of the IEEE Signal Processing Society appointed a new Editor-in-Chief for IEEE Signal Processing Letters who will start her term on 1 January 2020.
The Speech Technology Group of Toshiba Research Europe in Cambridge is looking for exceptional candidates to join our team of researchers, working in automatic speech recognition or statistical dialogue systems. We are looking for candidates with background in signal processing, machine learning, acoustic modelling or expertise in building state-of-the-art systems for ASR or Dialogue.
We have an open position for PhD student in area of PHY/MAC layer targeting low latency IoT applications. The research will be carried out in the Communication Systems and Network group at Mid Sweden University.
The applicants should meet following criteria:
- Hold M.Sc. degree in Electrical engineering, Signal Processing, Engineering Mathematics, Computer science, or similar domain
- Excellent written and communication skills
- Strong mathematical background
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