The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Watch the videos of Louis L. Scharf receiving the IEEE Jack S. Kilby Signal Processing Medal, Nadav Levanon receiving the IEEE Dennis J. Picard Medal for Radar Technologies and Applications and Simon S. Haykin receiving the IEEE James H. Mulligan, Jr. Education Medal.
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 8 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.
Financial Signal Processing and Machine Learning, A.N. Akansu, S.R. Kulkarni and D.M. Malioutov, Eds. Wiley-IEEE Press, 2016.
Description: The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering.
You may have received an email from Howard E. Michel, IEEE 2015 President and CEO, instructing you to vote FOR the IEEE Constitutional Amendment on this year’s member ballot. As you know, the Board of Governors of our Signal Processing Society has unanimously voted against the amendment. Actually, the governing bodies of the majority of IEEE societies are against it, including the largest ones such as Computer, Communications, and Power and Engineering.
Zhu, Yu (West Virginia University), “Multi-Modality Human Action Recognition” (2016) Advisor: Guo, Guodong
Human action recognition is very useful in many applications in various areas, e.g. video surveillance, HCI (Human computer interaction), video retrieval, gaming and security. Recently, human action recognition becomes an active research topic in computer vision and pattern recognition. A number of action recognition approaches have been proposed.
Kong, Long, (University of California, Los Angeles), “RF Synthesis without Inductors” (2016) Advisor: Razavi, Behzad
Recent developments in RF receiver design have eliminated all on-chip inductors except for that used in the local oscillator.
Shanghainese, also known as the Shanghai or Hu dialect, is a form of Wu dialect spoken in the central districts of Shanghai and in the surrounding region. Wu speakers represented about 8% of the total Chinese population by 1984. Shanghainese is a proper representative dialect of Northern Wu and in English "Shanghainese" sometimes refers to all Wu dialects. With nearly 14 million speakers, it is also the largest single form of Wu Chinese. Shanghainese, like other Wu dialects, is largely unintelligible with other varieties of Chinese such as Mandarin.
Research in artificial intelligence (AI) has made great progress in recent years including Google's Go-playing AI AlphaGo beating world-class player Lee Se-dol in a 4-1 victory. While AI surpasses human intelligence in many tasks, the way it works is very different from the human brain. Dr. Dhruv Batra from Virginia Tech gave a presentation on whether humans and AI look at the same regions when answering visual questions, at Data Science Summit 2016, in San Francisco, CA. https://www.arxiv-vanity.com/papers/1606.03556/
Your vote is important! On 15 August 2016, the election of Regional Directors-at-Large for Regions 1-6 and Region 8 (term 1 January 2017 through 31 December 2018) and Members-at-Large (term 1 January 2017 through 31 December 2019) of the IEEE Signal Processing Society Board of Governors will open.
Memory is one of the three key factors for cognitive dynamic systems. A paper titled A Comprehensive Study of the Past, Present, and Future of Data Deduplication, published in the Proceedings of the IEEE Sep. 2016, provides a comprehensive survey of the state of the art in data deduplication technologies for storage systems, covering key technologies, main applications, open problems, and future research directions.
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.