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10 Dec

Gaurav Sharma (University of Rochester, USA)

Lecture Date: December 10-12, 2016
Chapter: Uttar Pradesh
Chapter Chair: Uma Tiwary
Topics:
Large Scale Visual Analytics for Wide Area Motion Imagery
Probabilistic Decoding in Communications: A Turbo Approach
High Capacity Data Hiding for Printed Images

AASP TC

The AASP TC's mission is to support, nourish and lead scientific and technological development in all areas of audio and acoustic signal processing. These areas are currently seeing increased levels of interest and significant growth providing a fertile ground for a broad range of specific and interdisciplinary research and development.

Online Resources

Technical Committee Online Resources

This page collects links to online resources (datasets and software tools) that are pertinent to researchers and practitioners in the area of Audio and Acoustic Signal Processing. It is conceived just as a starting point for locating this type of resources, therefore it should not by any means be intended as exhaustive. This page will be kept updated (if you wish to point out relevant missing resources, you may do so by contacting a member of the publicity subcommittee of the AASP Technical Committee).

MIT Online Course 6.341x Discrete-Time Signal Processing is now free, online, interactive, and open to the world

Read about 6.341x: Discrete-Time Signal Processing which is a free open access self-paced graduate level MOOC (massive open online course). It is based on the residential MIT introductory graduate-level signal processing course that has been taught and continually updated at MIT for over four decades.

Recent Patents in Signal Processing (September 2016) – Image registration

For our August 2016 issue, we cover recent patents dealing with hardware and algorithmic issues of image registration. The section below covers patents granted recently for rigid and elastic image registration, patch matching, image alignment under low contrast or illumination, and specific devices constructed for the task. The disclosure presented in Patent no.

What Should We Learn From... Memory/Data Deduplication

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.

Towards Transparent AI Systems

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/

Do NOT Blindly Vote for the IEEE Constitutional Amendment

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.