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Amos Lapidoth

Amos Lapidoth

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
9086
World Ranking
4039
National Ranking
69

Overview

Amos Lapidoth is affiliated with ETH Zurich in Switzerland. Their research primarily spans the fields of Computer Science and Engineering, with a focus on Electrical and Electronic Engineering as well as Computer Networks and Communications. Additional subfields of study include Computational Theory and Mathematics, Biomedical Engineering, and Signal Processing.

The main topics addressed in Lapidoth's work include:

  • Wireless Communication Security Techniques
  • Error Correcting Code Techniques
  • Cellular Automata and Applications
  • Cooperative Communication and Network Coding
  • Molecular Communication and Nanonetworks
  • Chaos-based Image/Signal Encryption
  • Advanced Memory and Neural Computing

Lapidoth's recent publications illustrate a focus on information theory and communication channels. Notable recent papers include:

  • Encoder-Assisted Communications Over Additive Noise Channels, 2020, IEEE Transactions on Information Theory
  • The Listsize Capacity of the Gaussian Channel with Decoder Assistance, 2021, Entropy
  • State-Dependent DMC With a Causal Helper, 2023, IEEE Transactions on Information Theory

Other works related to communication and information theory, though with different lead authors, include "Decoder-Assisted Communications Over Additive Noise Channels" (2020, IEEE Transactions on Communications) and "Conditional Rényi Divergences and Horse Betting" (2020, Entropy).

Frequent collaborators in Lapidoth's research include Ligong Wang, Yiming Yan, Christoph Pfister, Robert Graczyk, and Gian Marti.

The primary venues for the dissemination of Lapidoth's research are:

  • IEEE Transactions on Information Theory
  • Entropy
  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • Information and Inference A Journal of the IMA

Best Publications

  • On the Capacity of Free-Space Optical Intensity Channels

    A. Lapidoth;S.M. Moser;M.A. Wigger

  • Fading channels: how perfect need "perfect side information" be?

    A. Lapidoth;S. Shamai

  • Reliable communication under channel uncertainty

    A. Lapidoth;P. Narayan

  • On information rates for mismatched decoders

    N. Merhav;G. Kaplan;A. Lapidoth;S. Shamai Shitz

  • Capacity bounds via duality with applications to multiple-antenna systems on flat-fading channels

    A. Lapidoth;S.M. Moser

  • Sending a Bivariate Gaussian Over a Gaussian MAC

    Amos Lapidoth;Stephan Tinguely

  • Nearest neighbor decoding for additive non-Gaussian noise channels

    A. Lapidoth

  • A Foundation in Digital Communication

    Amos Lapidoth

  • Mismatched decoding revisited: general alphabets, channels with memory, and the wide-band limit

    A. Ganti;A. Lapidoth;I.E. Telatar

  • On the Capacity of Fading MIMO Broadcast Channels with Imperfect Transmitter Side-Information

    Amos Lapidoth;Shlomo Shamai;Michele A. Wigger

  • On the asymptotic capacity of stationary Gaussian fading channels

    A. Lapidoth

  • On the role of mismatch in rate distortion theory

    A. Lapidoth

  • On the Capacity of the Discrete-Time Poisson Channel

    A. Lapidoth;S.M. Moser

  • Mismatched decoding and the multiple access channel

    A. Lapidoth

  • Universal decoding for channels with memory

    M. Feder;A. Lapidoth

  • Increased capacity per unit-cost by oversampling

    Tobias Koch;Amos Lapidoth

  • On phase noise channels at high SNR

    A. Lapidoth

  • Sending a Bi-Variate Gaussian Source over a Gaussian MAC

    Amos Lapidoth;Stephan Tinguely

  • Bounds on the capacity of a spectrally constrained Poisson channel

    S. Shamai;A. Lapidoth

  • The Gaussian MAC with conferencing encoders

    S.I. Bross;A. Lapidoth;M.A. Wigger

  • The Capacity of a MIMO Ricean Channel Is Monotonic in the Singular Values of the Mean

    Daniel Hosli;Amos Lapidoth

  • At Low SNR, Asymmetric Quantizers are Better

    Tobias Koch;Amos Lapidoth

  • On wide-band broadcast channels

    A. Lapidoth;I.E. Telatar;R. Urbanke

  • Bounds on the Capacity of the Discrete-Time Poisson Channel

    Amos Lapidoth;Stefan M. Moser

Frequent Co-Authors

Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Michael Gastpar
Michael Gastpar École Polytechnique Fédérale de Lausanne
Ashish Khisti
Ashish Khisti University of Toronto
Meir Feder
Meir Feder Tel Aviv University

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