Search Results - "Permuter, Haim Henri"

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  1. 1

    Wiretap and Gelfand-Pinsker Channels Analogy and Its Applications by Goldfeld, Ziv, Permuter, Haim Henri

    Published in IEEE transactions on information theory (01-08-2019)
    “…An analogy framework between wiretap channels (WTCs) and state-dependent point-to-point channels with non-causal encoder channel state information (referred to…”
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    Journal Article
  2. 2

    Capacity of a POST Channel With and Without Feedback by Permuter, Haim Henri, Asnani, Himanshu, Weissman, Tsachy

    Published in IEEE transactions on information theory (01-10-2014)
    “…We consider finite state channels, where the state of the channel is its previous output. We refer to these as Previous Output is the STate (POST) channels. We…”
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    Journal Article
  3. 3

    MAC With Action-Dependent State Information at One Encoder by Dikstein, Lior, Permuter, Haim Henri, Shamai, Shlomo Shitz

    Published in IEEE transactions on information theory (01-01-2015)
    “…The growing interest in action-dependent channels motivates us to extend the study of action-dependent settings, which until now focused on point-to-point…”
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  4. 4

    To Feed or Not to Feedback by Asnani, Himanshu, Permuter, Haim Henri, Weissman, Tsachy

    Published in IEEE transactions on information theory (01-09-2014)
    “…We study communication over finite state channels (FSCs), where the encoder and the decoder can control the availability or the quality of noise-free feedback,…”
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    Journal Article
  5. 5

    Source Coding When the Side Information May Be Delayed by Simeone, O., Permuter, H. H.

    Published in IEEE transactions on information theory (01-06-2013)
    “…For memoryless sources, delayed side information at the decoder does not improve the rate-distortion function. However, this is not the case for sources with…”
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  6. 6

    Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet by Aharoni, Ziv, Sabag, Oron, Permuter, Haim Henri

    Published 18-08-2020
    “…We propose a new method to compute the feedback capacity of unifilar finite state channels (FSCs) with memory using reinforcement learning (RL). The feedback…”
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