July, 2021-Postpone of the Workshop IEEE CAMSAP2021 and Approval of the Workshop IEEE SAM2022
by Xiangrong Wang and Wei Liu
Due to uncertainty generated by the pandemic, the Ninth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2021) has been postponed to 2023.
As approved by the SAM TC, the Twelfth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM2022) will be held at Trondheim, Norway, on 20-23 June 2022 (the dates are subject to change).
Joint postdoc position between the Broad Institute and the Weizmann Institute at the intersection of signal processing, machine learning, and healthcare. The work will be performed with the groups of Prof. Yonina Eldar and Dr. Anthony Philippakis at the Biomedical Engineering Center at Weizmann and the Eric and Wendy Schmidt Center at the Broad. The candidate is expected to work with both teams in collaborative and supportive environments, with the location flexible between the two centers.
The AI for Sound project (https://ai4s.surrey.ac.uk/) in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is offering the following PhD studentships in AI for Sound, available from 1 October 2021: (1) Automatic sound labelling for broadcast audio (2) Information theoretic learning for sound analysis (UK applicants) Application Deadline: 1 August 2021 CVSSP also has a number of ongoing PhD studentship opportunities for outstanding PhD candidates in all aspects of audio-visual signal processing, computer vision and machine learning, including for researc
IEEE Brain was formed in 2015 to create a technical community to facilitate cross-disciplinary collaboration and coordination to advance research, standardization, and development of engineering and technology to improve our understanding of the brain to treat diseases and to improve human condition. As an IEEE-wide effort, IEEE Brain unites engineering and computing expertise across IEEE Societies and Councils relevant to neuroscience, and provides an avenue for IEEE to work with multiple constituencies in academia, industry and government ...
Lecture Date: August 12, 2021 -- Virtual Lecture
Chapter: Singapore
Chapter Chair: Ngai-Man Cheung
Topic: Random Walk on a Tree for Stochastic Optimization and Learning
Accurate channel estimation is a major challenge in the next generation of wireless communication networks. To fully exploit setups with many antennas, estimation errors must be kept small. This can be achieved by exploiting the structure inherent in the channel vectors. For example, line-of-sight paths result in highly correlated channel coefficients.
Signal processing is an engineering discipline known to involve abstract and complex concepts. Curriculum development should be informed by an understanding of the most critical and challenging learning in the field. Threshold concept theory and threshold capability theory provide a framework describing the features of the most critical and challenging learning in any discipline.