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Upcoming Distinguished Lectures
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Read moreSeries to Highlight Women in Signal Processing: Professor Roxana Saint-Nom
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.
New SPS Chapters in 2019
The IEEE Signal Processing Society is happy to announce the addition of fifteen new Chapters formed in 2019. We welcome the new SPS Chapters and wish them great success in their future activities and events.
Hyderabad Chapter selected as the 2019 SPS Chapter of the Year Award recipient
The goal of the Hyderabad Chapter has been to bring together academicians, industry, and students with similar technical/research interests in the area of signal processing and communications.
Interview with Professor Ajit Rajwade
Ajit Rajwade is an Associate Professor in the department of computer science and engineering at IIT Bombay, India. He obtained his Bachelor’s degree from the Government College of Engineering, Pune affiliated to the University of Pune (India) in 2001, his Master’s degree from McGill University (Canada) in 2005, and his PhD degree from the University of Florida (USA) in 2010, all in computer science.
2019 Financial and Officer Reporting Dates
Call for Nominations: IEEE TMM 2020 Multimedia Prize Paper Award
2020 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2017, 2018, or 2019 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.
Get Involved with Technical Committees via the Affiliate TC Membership
The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
Towards a Unified Theory of Sensor Pattern Noise: An analysis of dark current, lens effects, and temperature bias in CMOS image sensors
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.
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