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The Latest News, Articles, and Events in Signal Processing
The theoretical basis for conventional acquisition of bandlimited signals typically relies on uniform time sampling and assumes infinite-precision amplitude values. In this paper, we explore signal representation and recovery based on uniform amplitude sampling with assumed infinite precision timing information.
We are looking for enthusiastic and talented students to join our
growing international research team at Heinrich Heine University
Düsseldorf.
** Apply by 1st June 2019 **
These PhD positions are fully funded by Prof. Milica Gasic' ERC Staring
Grant project DYMO. They come with a competitive salary (pay grade
EG13) and no teaching duties.
The selected candidate will work in the area of seismic data processing applied to the definition of water masses (seismic oceanography - Inversion). It will also act in the evaluation of the data received and in the preparation and realization of the cruises to obtain shallow seismic data in Brazilian waters and data analysis. It is expected to produce technical reports and scientific papers from the research group.
Lecture Date: July 25, 2019
Chapter: Central Indiana
Chapter Chair: John Mott
Topic: On Cybersecurity of IoT Systems
Lecture Date: July 10, 2019
Chapter: German
Chapter Chair: Wolfgang Utschick
Topic: Cyber Attacks on Internet of Things Sensor Systems for Inference
Lecture Date: July 8, 2019
Chapter: Benelux
Chapter Chair: Francois Horlin
Topic: Cyber Attacks on Internet of Things Sensor Systems for Inference
Lecture Date: July 5, 2019
Chapter: France
Chapter Chair: William Puech
Topic: Cyber Attacks on Internet of Things Sensor Systems for Inference
October 20-23, 2019
Location: Nanjing, China
December 14-18, 2019
Location: Sentosa, Singapore
April 3-7, 2020
Location: Changed to -- Virtual Conference
The list of tables of contents (TOCs) are now available for April 2019. The TOCs are formatted to the style of its publication and offers not only links to the full issue on the front cover, but also links to the individual articles within each TOC to take you to IEEEXplore®.
As part of the new project Ecce Aqua one fully funded PhD fellowship is available at the University of Padova (Italy) on imaging and big data analytics applied to marine vertebrates (http://www.dottorato.veterinaria.unipd.it/health-aquatic-animals).
Postdoctoral research position:
Acoustic cough detection and processing for healthcare
A postdoc position focussing on the automatic detection, analysis and classification of coughing in unconstrained audio for healthcare monitoring and disease screening is available in the Digital Signal Processing Group of the Department of Electrical and Electronic Engineering at the University of Stellenbosch, South Africa.
In the field of signal processing on graphs, graph filters play a crucial role in processing the spectrum of graph signals. This paper proposes two different strategies for designing autoregressive moving average (ARMA) graph filters on both directed and undirected graphs. The first approach is inspired by Prony's method, which considers a modified error between the modeled and the desired frequency response.
Recently, there has been significant progress in the development of distributed first-order methods. In particular, Shi et al. (2015) on the one hand and Qu and Li (2017) and Nedic et al. (2016) on the other hand propose two different types of methods that are designed from very different perspectives. They achieve both exact and linear convergence when a constant step size is used-a favorable feature that was not achievable by most prior methods.
In this paper, we study the problem of joint sparse support recovery with 1-b quantized compressive measurements in a distributed sensor network. Multiple nodes in the network are assumed to observe sparse signals having the same but unknown sparse support. Each node quantizes its measurement vector element-wise to 1 b. First, we consider that all the quantized measurements are available at a central fusion center.
Depending on the initial adopters of an innovation, it can either lead to a large number of people adopting that innovation or, it might die away quickly without spreading. Therefore, an idea central to many application domains, such as viral marketing, message spreading, etc., is influence maximization: selecting a set of initial adopters from a social network that can cause a massive spread of an innovation (or, more generally an idea, a product or a message).
Special Announcements:
We are pleased to announce that, as of January 2019, the IEEE Transactions on Signal and Information Processing over Networks has formally been accepted for indexing by the Clarivate Analytics Web of Science.
Articles published in TSIPN as of March 2016 will be covered in the following Clarivate Analytics products:
Several Ph.D. positions with full financial assistantship are available at the Autonomous Systems Perception, Intelligence, & Navigation Laboratory (https://aspin.ucr.edu); University of California, Irvine (https://uci.edu).
Immediate opening for a postdoctoral researcher in radionavigation and wireless communication systems at the Autonomous Systems Perception, Intelligence, & Navigation Laboratory (https://aspin.ucr.edu); University of California, Irvine (https://uci.edu).
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