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D-Index & Metrics

Computer Science

D-Index
50
Citations
16082
World Ranking
5489
National Ranking
2505

Research.com Recognitions

  • 1986 - IEEE Fellow For contributions to coding for reliable communication and to engineering education.

Overview

Daniel J. Costello is affiliated with the University of Notre Dame in the United States. Their research predominantly spans the fields of Computer Science and Engineering, with a strong focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Computational Theory and Mathematics.

The primary topics of their work include Error Correcting Code Techniques, Advanced Wireless Communication Techniques, and Cooperative Communication and Network Coding. Additional topics include Cellular Automata and Applications, Global Maternal and Child Health, Child Nutrition and Water Access, and Antibiotic Use and Resistance.

Among recent significant publications by Daniel J. Costello are:

  • "A Threshold-Based Min-Sum Algorithm to Lower the Error Floors of Quantized LDPC Decoders" (2020), published in IEEE Transactions on Communications
  • "Designing Protograph-Based Quasi-Cyclic Spatially Coupled LDPC Codes With Large Girth" (2020), published in IEEE Transactions on Communications
  • "Error Propagation Mitigation in Sliding Window Decoding of Braided Convolutional Codes" (2020), published in IEEE Transactions on Communications
  • "Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes" (2020), published in arXiv (Cornell University)
  • "Error Propagation Mitigation in Sliding Window Decoding of Spatially Coupled LDPC Codes" (2023), published in IEEE Journal on Selected Areas in Information Theory

The frequent publication venues for Costello's work include:

  • IEEE Transactions on Communications
  • arXiv (Cornell University)
  • IEEE Journal on Selected Areas in Information Theory
  • 2022 IEEE International Symposium on Information Theory (ISIT)
  • 2021 IEEE Globecom Workshops (GC Wkshps)

Frequent co-authors collaborating with Daniel J. Costello are:

  • David G. M. Mitchell
  • Min Zhu
  • Michael Lentmaier
  • Baoming Bai
  • Homayoon Hatami

In 1986, Daniel J. Costello was recognized as an IEEE Fellow for contributions to coding for reliable communication and to engineering education.

Best Publications

  • Error control coding : fundamentals and applications

    Shu Lin;Daniel J. Costello

  • Automatic-repeat-request error-control schemes

    Unknown

  • LDPC block and convolutional codes based on circulant matrices

    R.M. Tanner;D. Sridhara;A. Sridharan;T.E. Fuja

  • A distance spectrum interpretation of turbo codes

    L.C. Perez;J. Seghers;D.J. Costello

  • Applications of error-control coding

    D.J. Costello;J. Hagenauer;H. Imai;S.B. Wicker

  • Iterative Decoding Threshold Analysis for LDPC Convolutional Codes

    Michael Lentmaier;Arvind Sridharan;Daniel J Costello;Kamil Sh Zigangirov

  • Bandwidth- and power-efficient routing in linear wireless networks

    M. Sikora;J.N. Laneman;M. Haenggi;D.J. Costello

  • Bandwidth efficient coding for fading channels: code construction and performance analysis

    C. Schlegel;D.J. Costello

  • A Network Coding Approach to Cooperative Diversity

    Lei Xiao;T. Fuja;J. Kliewer;D. Costello

  • Trellis-coded multidimensional phase modulation

    S.S. Pietrobon;R.H. Deng;A. Lafanechere;G. Ungerboeck

  • Spatially Coupled LDPC Codes Constructed From Protographs

    David G. M. Mitchell;Michael Lentmaier;Daniel J. Costello

  • New deterministic interleaver designs for turbo codes

    O.Y. Takeshita;D.J. Costello

  • Deriving Good LDPC Convolutional Codes from LDPC Block Codes

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

  • Polynomial weights and code constructions

    Unknown

  • An algorithm for computing the distance spectrum of trellis codes

    M. Rouanne;D.J. Costello

  • ARQ schemes for data transmission in mobile radio systems

    Unknown

  • Implementation aspects of LDPC convolutional codes

    A.E. Pusane;A.J. Feltstrom;A. Sridharan;M. Lentmaier

  • Spatially coupled sparse codes on graphs: theory and practice

    Daniel J. Costello;Lara Dolecek;Thomas E. Fuja;Joerg Kliewer

  • Parity retransmission hybrid ARQ using rate 1/2 convolutional codes on a nonstationary channel

    L.R. Lugand;D.J. Costello;R.H. Deng

  • Approaching capacity with asymptotically regular LDPC codes

    Michael Lentmaier;Gerhard P. Fettweis;Kamil Sh. Zigangirov;Daniel J. Costello

  • Braided Convolutional Codes: A New Class of Turbo-Like Codes

    Wei Zhang;M. Lentmaier;K.Sh. Zigangirov;D.J. Costello

  • Terminated LDPC Convolutional Codes with Thresholds Close to Capacity

    Michael Lentmaier;Arvind Sridharan;Kamil Sh. Zigangirov;Daniel J. Costello

  • An analysis of the block error probability performance of iterative decoding

    M. Lentmaier;D.V. Truhachev;K.Sh. Zigangirov;D.J. Costello

Frequent Co-Authors

Michael Lentmaier
Michael Lentmaier Lund University
Shu Lin
Shu Lin University of California, Davis
Khaled Abdel-Ghaffar
Khaled Abdel-Ghaffar University of California, Davis
Pascal O. Vontobel
Pascal O. Vontobel Chinese University of Hong Kong
Robert H. Deng
Robert H. Deng Singapore Management University
Martin Haenggi
Martin Haenggi University of Notre Dame
William E. Ryan
William E. Ryan Zeta Associates
Tom Richardson
Tom Richardson Qualcomm (United States)

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