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Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
In this paper, we study the problem of compressed sensing using binary measurement matrices and ℓ1 -norm minimization (basis pursuit) as the recovery algorithm. We derive new upper and lower bounds on the number of measurements to achieve robust sparse recovery with binary matrices.
Section: Publications & Resources
As a reminder, most of the SPS publications have eliminated month-based issues and moved to a volume-only, continuous pagination model. This allows for rapid dissemination of content for our journals and now, articles are posted to their respective journals on IEEEXplore® nearly every day!
Section: Publications & Resources
IEEE Signal Processing Society Past President Ali H. Sayed, in his capacity as Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer positions of Vice President-Conferences for the term 1 January 2021-31 December 2023 and Vice President-Publications for the term 1 January 2021-31 December 2023. Nominations must be received no later than 14 FEBRUARY 2020.
Section: Publications & Resources
Professor Roxana Saint-Nom received her Electrical Engineering degree in 1987 from ITBA (Buenos Aires Institute of Technology, a 6 years program), Argentina. She achieved an Advanced Studies degree (Suficiencia Investigadora, 2003) in Speech Processing from the “Universidad Politécnica de Madrid”, Spain.
Section: Publications & Resources
Matching images to a discrete camera is of significance in forensic investigation. In the case of digital images, forensic matching is possible through the use of sensor noise present within every image. There exist misconceptions, however, around how this noise reacts under variables such as temperature and the use of different lens systems.
Section: Publications & Resources
The Clarity Project will be organising a series of machine learning challenges for advancing hearing-aid signal processing and speech-in-noise perception modelling.
Section: Publications & Resources
Dr. Pascale Fung is a Professor at the Department of Electronic & Computer Engineering and the Department of Computer Science & Engineering at The Hong Kong University of Science & Technology (HKUST).
Section: Publications & Resources
The IEEE Signal Processing Society would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic. We appreciate your continued patience and support as we work together to navigate these unforeseen and uncertain circumstances. We hope that you, your families, and your communities are safe!
Section: Publications & Resources
The IEEE Signal Processing Society would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic. We appreciate your continued patience and support as we work together to navigate these unforeseen and uncertain circumstances. We hope that you, your families, and your communities are safe!
Section: Publications & Resources
Translational utility is the ability of certain biomedical imaging features to capture useful subject-level characteristics in clinical settings, yielding sensible descriptions and/or predictions for individualized treatment trajectory. An important step in achieving translational utility is to demonstrate the association between imaging features and individual characteristics, such as sex, age, and other relevant assessments, on a large out-of-sample unaffected population (no diagnosed illnesses). This initial step then provides a strong normative basis for comparison with patient populations in clinical settings. Detailed information. Website.
