On the Minimum Mean p-th Error in Gaussian Noise Channels and Its Applications
Dr. Alex Dytso (Princeton) will present his research results at Bell Laboratories, Nokia, in Murray Hill, NJ. The meeting will be held in Room 6B-230, which is located near the main entrance behind the Bell Labs Showcase exhibition area. It is necessary to register as a visitor to access this area, and therefore it is important for non-Nokia participants to register well beforehand using VTOOLS.
Everyone is welcome to attend this meeting.
Please register in advance for this meeting using VTOOLS to provide the meeting organizers an accurate head count. You can change/cancel the registration if your plans change.
For more information, please contact Adriaan van Wijngaarden (avw@ieee.org).
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- 600 Mountain Ave
- Murray Hill, New Jersey
- United States 07974
- Building: Bell Laboratories, Nokia
- Room Number: 6B-230
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- Contact Event Host
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Adriaan J. van Wijngaarden, IEEE North Jersey Section Chair and IEEE New York/North Jersey Information Theory Society Chapter Chair, E-mail: avw@ieee.org
- Co-sponsored by IT, COMSOC, VTS
- Starts 01 October 2016 04:00 AM UTC
- Ends 27 October 2016 05:00 PM UTC
- No Admission Charge
Speakers
Alex Dytso of Princeton
On the Minimum Mean p-th Error in Gaussian Noise Channels and Its Applications
Abstract - We estimate a vector from observations corrupted by additive white Gaussian noise, minimizing the mean p-th error in place of the usual mean square error, and show some advantages of this. We apply it in wireless networks to maximize the communication rate at a primary receiver subject to a constraint on the interference at a secondary receiver. We can also generalize the Ozarow-Wyner lower bound for mutual information. Finally, we can improve previous characterizations of the phase transition in capacity- achieving codes of infinite length.
This is joint work with H. Vincent Poor, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, and Shlomo Shamai.
Biography:
Dr. Alex Dytso is a postdoctoral researcher at Princeton University. His current research focuses on multi-user information, estimation theory and applications to wireless networks.
Address:Princeton University, , Princeton, United States
Alex Dytso of Princeton
On the Minimum Mean p-th Error in Gaussian Noise Channels and Its Applications
Biography:
Address:Princeton, United States