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Section: Publications & Resources
In accordance with the Bylaws of the IEEE Signal Processing Society, the membership will elect, by direct ballot, THREE Members-at-Large to the Board of Governors for three-year terms commencing 1 January 2022 and ending 31 December 2024, as well as TWO Regional Directors-at-Large for the corresponding regions: Regions 7&9 (Canada & Latin America) and Region 10 (Asia & Pacific) for two-year terms commencing 1 January 2022 and ending 31 December 2023.
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 183 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
Section: Events
Submission Deadline: April 23, 2021
Call for Proposals Document
Section: Publications & Resources
The following is the listing of papers relating to various datasets.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
This past summer, Prof. Robert Heath Jr. IEEE Signal Processing Magazine’s (SPM’s) former editor-in-chief, stressed to me how important it is to include a strong team of scientists on the magazine’s editorial board. It is especially important for area editors and members of the senior editorial board, but also associate editors for columns and forums as well as the e-Newsletter.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Ten years ago, the world marveled at the ability of social media technology to assist an entire region in its pursuit of democracy. As I write this column days after the U.S. Presidential Inauguration, the world this time is overwhelmingly appalled by the role that same technology played in a violent attempt to overturn democracy. Those who decried the shutdown of access to social media desperately implemented by authoritarian regimes applauded similar restrictions implemented by tech companies in a quest to forestall additional violence.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Deep neural networks provide unprecedented performance gains in many real-world problems in signal and image processing. Despite these gains, the future development and practical deployment of deep networks are hindered by their black-box nature, i.e., a lack of interpretability and the need for very large training sets.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
The old adage "you are what you wear" is taking on an entirely new meaning as smart watches, fitness trackers, and a rapidly expanding array of other wearable devices flood onto the market, enabling users to monitor their exercise progress, retrieve critical health data, and accomplish a wide range of other useful and informative tasks.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Many problems in signal processing [e.g., filter bank design, independent component analysis (ICA), beamforming design, and neural network training] can be formulated as optimization over groups of transformations that depend continuously on real parameters (Lie groups). Such problems are usually tackled in two ways: using a constrained optimization procedure or using some parameterization to transform them into unconstrained problems.
Job offer: Post-doc in biomedical image analysis
We are seeking candidates who are interested in developing deep learning algorithms for improving the registration/alignment of our 2D/3D MRI and microscopy images.
