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Center for Scientific Computation and Mathematical Modeling

Research Activities > Programs > Sparse Data Representation > Oversampling and Coarse Quantization for Signals

Oversampling and Coarse Quantization for Signals

April 11 - April 15, 2005

CSIC Building (#406), Seminar Room 4122.
Directions: www.cscamm.umd.edu/directions


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Organizing Committee Scientific Content Confirmed Participants
Funding Information for Participants Schedule
Poster Photos Contact
Lectures  Acknowledgement


REGISTRATION REQUESTED

Due to space limitations, please register/RSVP at //www.cscamm.umd.edu/programs/ocq05/rsvp.htm


ORGANIZING COMMITTEE

Name

Affiliation

Email

John Benedetto University of Maryland
Ingrid Daubechies Princeton University
Ron DeVore University of Maryland
Eitan Tadmor University of Maryland

SCIENTIFIC CONTENT

While high oversampling is a preferred technology in digital signal encoding, the advantages of redundancy are far from clearly understood. Single bit quantization schemes such as Sigma-Delta Modulation are intimately connected with number theory, dynamical systems, and stochastic processes. These methods are also used in other applications such as halftoning. The workshop will bring together selected experts, from a variety of scientific disciplines, whose work interfaces coarse quantization techniques. The focus of the workshop will be to explain the benefits of redundancy in this setting and to describe the compelling open problems.

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CONFIRMED PARTICIPANTS

 

Name

Affiliation

Analog Devices
University of Maryland
Princeton University
University of Maryland
New York University
University of Alberta
University of Maryland
HRL Laboratories,LLC
Stanford University
Stanford University
University of Maryland
Univerity of North Carolina Wilmington
City College, CUNY
Voronezh State University
University of Maryland
HRL Laboratories, LLC
Michigan State University
Princeton University
University of Minnesota
University of Toronto
University of Maryland
University of Maryland
Stanford University
Georgia Institute Of Technology
Georgia Institute Of Technology
Harvard University
Thomas J. Watson Research Center at IBM
University of British Columbia


SCHEDULE

Click here for Schedule


ACKNOWLEDGEMENT

Partial funding is provided by the Office of Naval Research (ONR) and by the University of South Carolina Industrial Mathematics Institute (IMI).

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FUNDING

A limited amount of funding for participants at all levels is available, especially for researchers in the early stages of their career who want to attend the full program.

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INFORMATION FOR PARTICIPANTS

CSCAMM Visitor Guide: www.cscamm.umd.edu/visitors


CONTACT

Center for Scientific Computation And Mathematical Modeling (CSCAMM)
Computer Science Instructional Center (Building #406)
University of Maryland, College Park
College Park, MD 20742-3289

Email:

Web: //www.cscamm.umd.edu/programs/ocq05


POSTER

Click here for Poster [PDF]


PHOTOS

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