Technical Program

S.3: Channels with Feedback

Session Type: Lecture
Track: Shannon Theory
Virtual Session: View on Virtual Platform
Session Chair: Guangyue Han, University of Hong Kong
 
S.3.1: A Connection between Feedback Capacity and Kalman Filter for Colored Gaussian Noises
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         Song Fang; New York University
         Quanyan Zhu; New York University
 
S.3.2: Bounds for the capacity error function for unidirectional channels with noiseless feedback
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         Christian Deppe; Technische Universität München
         Vladimir Lebedev; Russian Academy of Sciences
         Georg Maringer; Technische Universität München
 
S.3.3: Feedback Channel Communication with Low Precision Arithmetic
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         Yonatan Urman; Tel-Aviv University
         David Burshtein; Tel-Aviv University
 
S.3.4: New Formulas of Ergodic Feedback Capacity of AGN Channels Driven by Stable and Unstable Autoregressive Noise
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         Christos Kourtellaris; University of Cyprus
         Charalambos D. Charalambous; University of Cyprus
         Sergey Loyka; University of Ottawa
 
S.3.5: Measurement Dependent Noisy Search with Stochastic Coefficients
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         Nancy Ronquillo; University of California, San Diego
         Tara Javidi; University of California, San Diego
 
S.3.6: Decentralized sequential active hypothesis testing and the MAC feedback capacity
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         Achilleas Anastasopoulos; University of Michigan
         Sandeep Pradhan; University of Michigan
 
S.3.7: From Feedback Capacity to Tight Achievable Rates without Feedback for AGN Channels with Stable and Unstable Autoregressive Noise
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         Christos Kourtellaris; University of Cyprus
         Charalambos D. Charalambous; University of Cyprus
         Sergey Loyka; University of Ottawa
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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