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Overview

Pascal O. Vontobel is affiliated with the Chinese University of Hong Kong in China. Their research contributions span mainly in the fields of Computer Science and Engineering, with subfields including Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology, and Artificial Intelligence.

The scientist's published work frequently addresses topics such as:

  • Error Correcting Code Techniques
  • Advanced Wireless Communication Techniques
  • DNA and Biological Computing
  • Matrix Theory and Algorithms
  • Advanced Graph Theory Research
  • Wireless Communication Security Techniques
  • Cooperative Communication and Network Coding

Pascal O. Vontobel's recent papers reflect a focus on theoretical and applied aspects of information theory, coding, and communications. Notable recent publications include:

  • Using List Decoding to Improve the Finite-Length Performance of Sparse Regression Codes, 2021, IEEE Transactions on Communications
  • Double-Cover-Based Analysis of the Bethe Permanent of Non-negative Matrices, 2022, 2022 IEEE Information Theory Workshop (ITW)
  • Degree-MBethe and Sinkhorn Permanent Based Bounds on the Permanent of a Non-Negative Matrix, 2024, IEEE Transactions on Information Theory
  • Constrained Secrecy Capacity of Finite-Input Intersymbol Interference Wiretap Channels, 2021, arXiv (Cornell University)
  • On the Relationship Between the Minimum of the Bethe Free Energy Function of a Factor Graph and Sum-Product Algorithm Fixed Points, 2022, 2022 IEEE Information Theory Workshop (ITW)

The scientist has collaborated frequently with colleagues including Haiwen Cao, Yu-Wen Huang, Reza Asvadi, Kit Shing NG, and Navin Kashyap.

Publications are concentrated in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE Information Theory Workshop (ITW)
  • IEEE Transactions on Communications
  • IEEE Transactions on Information Theory

Best Publications

  • Simulation-Based Computation of Information Rates for Channels With Memory

    D.M. Arnold;H.-A. Loeliger;P.O. Vontobel;A. Kavcic

  • Writing to and reading from a nano-scale crossbar memory based on memristors.

    Pascal O Vontobel;Warren Robinett;Philip J Kuekes;Duncan R Stewart

  • Graph-Cover Decoding and Finite-Length Analysis of Message-Passing Iterative Decoding of LDPC Codes

    Pascal O. Vontobel;Ralf Koetter

  • Deriving Good LDPC Convolutional Codes from LDPC Block Codes

    A E Pusane;R Smarandache;P O Vontobel;Daniel J Costello

  • LDPC Codes for Compressed Sensing

    A. G. Dimakis;R. Smarandache;P. O. Vontobel

  • Quasi-Cyclic LDPC Codes: Influence of Proto- and Tanner-Graph Structure on Minimum Hamming Distance Upper Bounds

    Roxana Smarandache;Pascal O. Vontobel

  • A Generalization of the Blahut–Arimoto Algorithm to Finite-State Channels

    P.O. Vontobel;A. Kavcic;D.M. Arnold;H.-A. Loeliger

  • Towards Low-Complexity Linear-Programming Decoding

    Pascal O. Vontobel;Ralf Koetter

  • The Bethe Permanent of a Nonnegative Matrix

    P. O. Vontobel

  • Counting in Graph Covers: A Combinatorial Characterization of the Bethe Entropy Function

    Pascal O. Vontobel

  • On the Relationship between Linear Programming Decoding and Min-Sum Algorithm Decoding

    Pascal O. Vontobel;Ralf Koetter

  • Characterizations of pseudo-codewords of (low-density) parity-check codes

    Ralf Koetter;Wen-Ching Winnie Li;Pascal O. Vontobel;Judy L. Walker

  • Partition Functions of Normal Factor Graphs

    G. David Forney;Pascal O. Vontobel

  • An upper bound on the capacity of channels with memory and constraint input

    P.O. Vontobel;D.M. Arnold

  • On Deriving Good LDPC Convolutional Codes from QC LDPC Block Codes

    A.E. Pusane;R. Smarandache;P.O. Vontobel;D.J. Costello

  • Lower bounds on the minimum pseudoweight of linear codes

    P.O. Vontobel;R. Koetter

  • Systems and methods for encoding information for storage in an electronic memory and for decoding encoded information retrieved from an electronic memory

    Erik Ordentlich;Ron M. Roth;Pascal Vontobel

  • Pseudo-Codeword Analysis of Tanner Graphs From Projective and Euclidean Planes

    R. Smarandache;P.O. Vontobel

  • On low-complexity linear-programming decoding of LDPC codes

    Pascal O. Vontobel;Ralf Koetter

  • The Bethe permanent of a non-negative matrix

    Pascal O. Vontobel

Frequent Co-Authors

Ralf Koetter
Ralf Koetter Technical University of Munich
Ron M. Roth
Ron M. Roth Technion – Israel Institute of Technology
Daniel J. Costello
Daniel J. Costello University of Notre Dame
Alexandros G. Dimakis
Alexandros G. Dimakis The University of Texas at Austin
Aleksandar Kavcic
Aleksandar Kavcic University of Hawaii at Manoa
Gadiel Seroussi
Gadiel Seroussi University of the Republic
Jon Feldman
Jon Feldman Google (United States)
Philip J. Kuekes
Philip J. Kuekes Hewlett-Packard (United States)
Henry D. Pfister
Henry D. Pfister Duke University
R. Stanley Williams
R. Stanley Williams Texas A&M University

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