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Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC. Visit the SPS Job Submission Form.
In the mid-1940s, a few brilliant people drew up the basic blueprints of the computer age. They conceived a general-purpose machine based on a processing unit made up of specialized subunits and registers, which operated on stored instructions and data. Later inventions—transistors, integrated circuits, solid-state memory—would supercharge this concept into the greatest tool ever created by humankind.
Recent years have seen a rapid increase in the number of machine learning and signal processing contests. Some of those currently open include: From Kaggle hosted contests, Google is inviting the Kaggle community to join efforts to accelerate research in large-scale video understanding, while giving participants access to the Google Cloud Machine Learning Engine.
What if we lived in a world without music? It’s utterly unthinkable. Music has long been an important part of human life. Researchers found human remain alongside flutes made from animal bones dating more than 40,000 years ago1. In ancient Greek mythology, muses were goddesses or water nymphs, inspiring humans in the fields of art and science, and spurring incredible developments2.
The research project is concerned with sparse modeling and representation of various forms of signals, including, in particular, acoustical and spectroscopic measurements. The project considers sparse modeling in inter- and cross-disciplinary applications, and may also include topics such as robust beamforming, machine learning, spectral representation of sparse signals, and dictionary learning.
Call for Proposals: IEEE ICIP 2022
Submission Deadline: March 3, 2018
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