(DCC 2019) 2019 Data Compression Conference
March 26-29, 2019
Location: Snowbird, Utah, USA
Conference Paper Submission Deadline
Website Link
Archive Link
(SPAWC 2019) 2019 IEEE International Workshop on Signal Processing Advances in Wireless Communications
July 2-5, 2019
Location: Cannes, France
Conference Paper Submission Deadline
Website Link
Archive Link
(ISBI 2019) 2019 IEEE International Symposium on Biomedical Imaging (ISBI)
April 8-11, 2019
Location: Venice, Italy
Conference Paper Submission Deadline
Website Link
Archive Link
Speech research/machine learning internship @Alibaba
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
About You
A willingness to be a better you on a day by day basis.
About Us:
New SPS Technical Interest Profile Codes
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.
PhD Studentships
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:
- Adaptive signal processing algorithms
- Distributed signal processing techniques
Recent Patents in Signal Processing (May 2018) – Face recognition
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;
What Should We Learn? Bringing Wearable Sensors into the Classroom
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.
What Should We Learn? Cognitive Speech Coding
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.
How Are Signal Processing Engineers Vital to Digital Assistants?
Technologies that at first seem like magic soon become so commonplace that we no longer even think about how amazing they are – or wonder how they operate. Our digital home assistants – Amazon’s Alexa, Google Home and their emerging rivals – have been with us long enough that we take for granted they can understand our unique voices, commands and questions, even with other noise occurring around them.
