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Shift-Invariant Structure-Imposed Convolutional Neural Networks for Direction of Arrival Estimation

  • University of Rhode Island

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2022 IEEE World AI IoT Congress, AIIoT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages179-186
Number of pages8
ISBN (Electronic)9781665484534
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE World AI IoT Congress, AIIoT 2022 - Seattle, United States
Duration: Jun 6 2022Jun 9 2022

Publication series

Series2022 IEEE World AI IoT Congress, AIIoT 2022

Conference

Conference2022 IEEE World AI IoT Congress, AIIoT 2022
Country/TerritoryUnited States
CitySeattle
Period6/6/226/9/22

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Safety, Risk, Reliability and Quality

Keywords

  • Convolutional neural network
  • direction of arrival
  • shift-invariant arrays
  • sparse arrays

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