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The Latest News, Articles, and Events in Signal Processing
In this letter, we address an audio signal separation problem and propose a new effective algorithm for solving a bilevel optimization in discriminative nonnegative matrix factorization (NMF). Recently, discriminative training of NMF bases has been developed for better signal separation in supervised NMF (SNMF), which exploits a priori training of given sample signals.
Scope
The IEEE Signal Processing Letters is an archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing.
Lecture Date: July 25, 2019
Chapter: Columbus
Chapter Chair: Philip Schniter
Topic: Cyber Attacks on Internet of Things Sensor Systems for Inference
Lecture Date: July 15, 2019
Chapter: Guadalajara
Chapter Chair: Rodrigo Calderon
Topic: Distributed Signal Processing
In this paper, we devise a communication-efficient decentralized algorithm, named as communication-censored alternating direction method of multipliers (ADMM) (COCA), to solve a convex consensus optimization problem defined over a network. Similar to popular decentralized consensus optimization algorithms such as ADMM, at every iteration of COCA, a node exchanges its local variable with neighbors, and then updates its local variable according to the received neighboring variables and its local cost function.
A major drawback of subspace methods for direction-of-arrival estimation is their poor performance in the presence of coherent sources. Spatial smoothing is a common solution that can be used to restore the performance of these methods in such a case at the cost of increased array size requirement. In this paper, a Hadamard product perspective of the source resolvability problem of spatial-smoothing-based subspace methods is presented.
We consider the problem of stochastic optimization with nonlinear constraints, where the decision variable is not vector-valued but instead a function belonging to a reproducing Kernel Hilbert Space (RKHS). Currently, there exist solutions to only special cases of this problem.
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.
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