Search Results - "Sabag, Oron"

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  1. 1

    Competitive Channel-Capacity by Langberg, Michael, Sabag, Oron

    Published in IEEE transactions on information theory (01-07-2024)
    “…We consider communication over channels whose statistics are not known in full, but can be parameterized as a finite family of memoryless channels. A typical…”
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    Journal Article
  2. 2

    Regret-Optimal Filtering for Prediction and Estimation by Sabag, Oron, Hassibi, Babak

    “…We study the filtering problem of causally estimating a desired signal from a related observation signal, through the lens of regret optimization. Classical…”
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    Journal Article
  3. 3

    Feedback Capacity of MIMO Gaussian Channels by Sabag, Oron, Kostina, Victoria, Hassibi, Babak

    Published in IEEE transactions on information theory (01-10-2023)
    “…Finding a computable expression for the feedback capacity of channels with colored Gaussian, additive noise is a long standing open problem. In this paper, we…”
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    Journal Article
  4. 4

    Reducing the LQG Cost With Minimal Communication by Sabag, Oron, Tian, Peida, Kostina, Victoria, Hassibi, Babak

    Published in IEEE transactions on automatic control (01-09-2023)
    “…We study the linear quadratic Gaussian (LQG) control problem, in which the controller's observation of the system state is insufficient to attain a desired…”
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    Journal Article
  5. 5

    Finite-State Channels With Feedback and State Known at the Encoder by Shemuel, Eli, Sabag, Oron, Permuter, Haim H.

    Published in IEEE transactions on information theory (01-03-2024)
    “…We consider finite-state channels (FSCs) with feedback and state information known causally at the encoder. This setting is quite general and includes: a…”
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    Journal Article
  6. 6

    Capacity of Finite-State Channels with Delayed Feedback by Huleihel, Bashar, Sabag, Oron, Permuter, Haim H., Kostina, Victoria

    Published in IEEE transactions on information theory (01-01-2024)
    “…In this paper, we investigate the capacity of finite-state channels (FSCs) in the presence of delayed feedback. We show that the capacity of a FSC with delayed…”
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    Journal Article
  7. 7

    Feedback Capacity of Ising Channels With Large Alphabet via Reinforcement Learning by Aharoni, Ziv, Sabag, Oron, Permuter, Haim H.

    Published in IEEE transactions on information theory (01-09-2022)
    “…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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    Journal Article
  8. 8

    The Feedback Capacity of Noisy Output Is the STate (NOST) Channels by Shemuel, Eli, Sabag, Oron, Permuter, Haim H.

    Published in IEEE transactions on information theory (01-08-2022)
    “…We consider finite-state channels (FSCs) where the channel state is stochastically dependent on the previous channel output. We refer to these as Noisy Output…”
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    Journal Article
  9. 9

    Graph-Based Encoders and Their Performance for Finite-State Channels With Feedback by Sabag, Oron, Huleihel, Bashar, Permuter, Haim H.

    Published in IEEE transactions on communications (01-04-2020)
    “…The capacity of unifilar finite-state channels in the presence of feedback is investigated. We derive a new evaluation method to extract graph-based encoders…”
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    Journal Article
  10. 10

    Feedback Capacity and Coding for the BIBO Channel With a No-Repeated-Ones Input Constraint by Sabag, Oron, Permuter, Haim H., Kashyap, Navin

    Published in IEEE transactions on information theory (01-07-2018)
    “…In this paper, a general binary-input binary-output channel is investigated in the presence of feedback and input constraints. The feedback capacity and the…”
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    Journal Article
  11. 11

    Feedback Capacity and Coding for the (0,k) -RLL Input-Constrained BEC by Peled, Ori, Sabag, Oron, Permuter, Haim H.

    Published in IEEE transactions on information theory (01-07-2019)
    “…The input-constrained binary erasure channel (BEC) with strictly causal feedback is studied. The channel input sequence must satisfy the <inline-formula>…”
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    Journal Article
  12. 12

    A Single-Letter Upper Bound on the Feedback Capacity of Unifilar Finite-State Channels by Sabag, Oron, Permuter, Haim H., Pfister, Henry D.

    Published in IEEE transactions on information theory (01-03-2017)
    “…An upper bound on the feedback capacity of unifilar finite-state channels (FSCs) is derived. A new technique, called the Q-context mapping, is based on a…”
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    Journal Article
  13. 13

    Computable Upper Bounds on the Capacity of Finite-State Channels by Huleihel, Bashar, Sabag, Oron, Permuter, Haim H., Kashyap, Navin, Shamai Shitz, Shlomo

    Published in IEEE transactions on information theory (01-09-2021)
    “…We consider the use of the well-known dual capacity bounding technique for deriving upper bounds on the capacity of indecomposable finite-state channels (FSCs)…”
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    Journal Article
  14. 14

    Lossless Coding of Correlated Sources With Actions by Sabag, Oron, Permuter, Haim H., Cohen, Asaf

    Published in IEEE transactions on information theory (01-02-2017)
    “…This paper studies the problem of the distributed compression of correlated sources with an action-dependent joint distribution. This class of problems is, in…”
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    Journal Article
  15. 15

    Competitive Channel-Capacity by Langberg, Michael, Sabag, Oron

    “…We consider communication over channels whose statistics are not known in full, but can be parameterized as a finite family of memoryless channels. A typical…”
    Get full text
    Conference Proceeding
  16. 16

    Regret-Optimal Filtering for Prediction and Estimation by Sabag, Oron, Hassibi, Babak

    Published 04-05-2022
    “…The filtering problem of causally estimating a desired signal from a related observation signal is investigated through the lens of regret optimization…”
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    Journal Article
  17. 17

    Neural Estimation of Multi-User Capacity Regions by Huleihel, Bashar, Tsur, Dor, Aharoni, Ziv, Sabag, Oron, Permuter, Haim H.

    “…In this paper, we introduce a data-driven methodology for estimating capacity regions of continuous channels in multi-user communication systems. Computing…”
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    Conference Proceeding
  18. 18

    Coded Kalman Filtering Over Gaussian Channels with Feedback by Han, Barron, Sabag, Oron, Kostina, Victoria, Hassibi, Babak

    “…This paper investigates the problem of zero-delay joint source-channel coding of a vector Gauss-Markov source over a multiple-input mulitple-output (MIMO)…”
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    Conference Proceeding
  19. 19

    The Feedback Capacity of the Binary Erasure Channel With a No-Consecutive-Ones Input Constraint by Sabag, Oron, Permuter, Haim H., Kashyap, Navin

    Published in IEEE transactions on information theory (01-01-2016)
    “…The input-constrained erasure channel with feedback is considered, where the binary input sequence contains no consecutive ones, i.e., it satisfies the (1,…”
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    Journal Article
  20. 20

    Competitive Analysis of Arbitrary Varying Channels by Langberg, Michael, Sabag, Oron

    “…Arbitrary varying channels (AVC) are used to model communication settings in which a channel state may vary arbitrarily over time. Their primary objective is…”
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    Conference Proceeding