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BASiCS (Berkeley Audio-visual Signal processing and ...

    https://people.eecs.berkeley.edu/~kannanr/about.html
    BASiCS (Berkeley Audio-visual Signal processing and Communication Systems) Our lab’s main research interests are in the area of peer-to-peer networks, multimedia processing, information and coding theory and collaborative signal processing. The theme of our lab is to design highly robust large scale systems comprising of unreliable individual entities.

BASiCS Seminar - (USA) UC Berkeley

    http://basics.eecs.berkeley.edu/
    The BASiCS group(Berkeley Audio-visual Signal processing and Communication Systems) is hosted by Prof. Kannan Ramachandran and affiliated with the Berkeley Laboratory for Information and System Sciences. Talks at the group meeting cover a wide range of topics including but not limited to distributed computing, optimization and control and deep learning.

Research Centers and Labs | EECS at UC Berkeley

    https://web-1.eecs.berkeley.edu/Research/Areas/Centers/
    Berkeley Audio-visual Signal processing and Communication Systems (BASiCS) The main research interests of BASiCS are in the area of peer-to-peer networks, multimedia processing, information and coding theory and collaborative signal processing.

Kannan Ramchandran | EECS at UC Berkeley

    https://www2.eecs.berkeley.edu/Faculty/Homepages/ramchandran.html
    After completing his Ph.D., Professor Ramchandran became an Assistant Professor at the University of Illinois, Urbana-Champaign and Associate Director of the Beckman Institute Multimedia Laboratory. In the Beckman Institute, he was a member of the Image Formation and Processing Group. In 1999, he came to UC Berkeley's EECS Department and created the …

VIP Lab

    http://www-video.eecs.berkeley.edu/links.shtml
    UC Berkeley. UC Berkeley; UC Berkeley EECS Department; UC Berkeley Robotics Lab; UC Berkeley Audio-Visual Signal Processing and Communication Systems Group (BASiCS) Resources. Signal Processing; MIT AI Laboratory; Multimedia Sources; Resources. IEEE - The Institute of Electrical and Electronics Engineers; SPIE - The International Society for ...

Kannan Ramchandran - University of California, Berkeley

    https://people.eecs.berkeley.edu/~kannanr/index.html
    Email: kannanr at eecs dot berkeley dot edu. Office: 269 Cory Hall. Phone: (510) 642-2353. Research Affiliations. BASiCS (Berkeley Audio Visual Signal Processing and Communication Systems) Wireless Foundations Center

Multimodal Location Estimation - icsi.berkeley.edu

    https://www.icsi.berkeley.edu/icsi/projects/speech/multimodal-location-estimation
    This is a collaboration with the computer vision group at ICSI as well as with the UC Berkeley BASiCS group (Berkeley Audio Visual Signal Processing and Communication Systems). More information on this project can be found at http://multimedia.icsi.berkeley.edu/multimodal-location-estimation.

Swanand Kadhe (UC Berkeley)

    http://basics.eecs.berkeley.edu/fa20/swanandSep2.html
    Bio. Swanand Kadhe is a postdoc at the EECS Department of University of California, Berkeley, working with Kannan Ramchandran. He is also affiliated with the Berkeley Laboratory for Information and System Sciences (BLISS) and Berkeley Audio-visual Signal processing and Communication Systems (BASiCS).

Estimation Error Bounds for Frame Denoising

    http://www.stat.ucla.edu/~akfletcher/Publications/FletcherR_SPIE2003_Bound.pdf
    {alyson,kannanr}@eecs.berkeley.edu Berkeley Audio-Visual Signal Processing and Communication Systems group Department of Electrical Engineering and Computer Sciences University of California, Berkeley Berkeley, CA 94720 USA ABSTRACT A subspace-based method for denoising with a frame works as follows: If a signal is known to have a sparse

Scalable Video-on-Demand With Edge Resources

    https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-42.pdf
    previously been developed by our advising laboratory (Berkeley Audio-visual Signal processing and Communication Systems Group). These algorithms define and regulate the interactions between nodes in the system, in such a way that everyone's resources are maximally utilized. The

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