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The Latest News, Articles, and Events in Signal Processing

Aalto University

Aalto University (School of Electrical Engineering, Department of Signal Processing and Acoustics) invites applications for Postdoc position in Speech Processing.

Cardiac magnetic resonance imaging (CMRI) has been proven to be a valuable source of diagnostic information concerning heart health. One application, myocardial blood flow (MBF) quantification using first-pass contrast-enhanced myocardial perfusion, has aided the detection of coronary artery disease and provides an accurate evaluation of myocardial ischemia, an identifier of coronary artery stenosis.

This work investigates how multipath propagation can be exploited to enhance the accuracy of AoA localization systems. The presented multipath assisted method resembles a fingerprinting approach, matching an AoA measurement vector to a set of reference vectors. 

This past Star Wars Day (May the Fourth), fans had reason to celebrate. The new prequel, Solo: A Star Wars Story, was less than a week away from release, and more broadly, the entire franchise is undergoing a renaissance with new films more faithful in style and storyline to the beloved original trilogy. But beyond the actors and writers, Star Wars fans should be thanking the technology that makes such films possible: signal processing.

Lecture Date: July 3, 2018
Chapter: Turkey
Chapter Chair: Murat Saraclar
Topic: Speech Recognition: What’s Left?

Lecture Date: June 1 & 7, 2018
Chapter: France 
Chapter Chair: William Puech
Topic: (1) Hyperspectral Unmixing in Remote Sensing: Learn the
Wisdom There and Go Beyond (Machine Learning Included)
(2) MIMO Transceiver Designs and Optimization: Beyond Beamforming and
Perfect Channel Information

Aalto University, Department of Neuroscience and Biomedical Engineering

Professor of Brain-signal Analytics

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 University has six schools with nearly 11 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.
 

We are now looking for:
 

Lecture Date: June 5, 2018
Chapter: Benelux 
Chapter Chair: Francois Horlin
Topic: Hyperspectral Unmixing in Remote Sensing: Learn the
Wisdom There and Go Beyond (Machine Learning Included)

Alibaba Group (U.S.) Inc.

Title:  Speech research/machine learning internship @Alibaba

Time: Summer/Fall, 2018

Job location: Seattle /  San Francisco / Beijing

Link:  https://sites.google.com/site/gangliuresearch/jobs

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The IEEE Signal Processing Society continues to track emerging technical areas. As a result, the Society has decided to create two new SPS Technical Interest Profile (TIP) Code categories in the fields of Data Science and Autonomous Systems to keep pace with the expanding technical disciplines.

Pontifical Catholic University of Rio de Janeiro

PhD Studentships in Signal Processing Techniques
 
Programe of Electrical Engineering,  Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil
 
Applications are invited for PhD studentships in signal processing techniques. These studentships are funded by the CNPq/CAPES research councils in Brazil. The topic of the project is open in the broad area of signal processing techniques. Potential topics include:

Patent no. 9,959,455 presents a system for facial recognition comprising at least one processor; at least one input operatively connected to the at least one processor; a database configured to store three-dimensional facial image data comprising facial feature coordinates in a predetermined common plane;

By bringing research into the curriculum, this article explores new opportunities to refresh some classic signal processing courses. Since 2015, we in the Electrical and Electronic Engineering (EEE) Department of Imperial College London, United Kingdom, have explored the extent to which the level of student engagement and learning can be enhanced by inviting the students to perform signal processing exercises on their own physiological data.

Speech coding is a field in which compression paradigms have not changed in the last 30 years. Speech signals are most commonly encoded with compression methods that have roots in linear predictive theory dating back to the early 1940s. 

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